93 Results for Ml Engineer Jobs

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AI/ML Engineer

Phoenix, Arizona
onsite
Temporary / Contract
0 - 0 USD / Yearly
A growing organization in the Phoenix area is seeking an experienced AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that drive business innovation and operational efficiency. This role will work closely with software engineers, data scientists, product teams, and business stakeholders to build scalable AI-powered applications and advanced analytics solutions.The ideal candidate combines strong software engineering fundamentals with hands-on experience in machine learning, deep learning, and modern AI technologies, including generative AI and large language models (LLMs). Key Responsibilities<ul><li>Design, develop, test, and deploy machine learning models and AI-driven applications.</li><li>Build and maintain scalable data pipelines to support model training, evaluation, and production inference.</li><li>Develop predictive analytics, classification, recommendation, forecasting, and natural language processing (NLP) solutions.</li><li>Implement and optimize deep learning models using modern frameworks and cloud-based infrastructure.</li><li>Collaborate with cross-functional teams to identify business opportunities for AI and machine learning applications.</li><li>Monitor model performance, accuracy, and reliability in production environments.</li><li>Apply MLOps best practices for model versioning, deployment automation, monitoring, and governance.</li><li>Develop APIs and microservices to operationalize AI models and integrate them into enterprise applications.</li><li>Work with structured and unstructured datasets to prepare, cleanse, and engineer features for modeling.</li><li>Stay current with emerging technologies and advancements in AI, machine learning, and generative AI.</li></ul>
2026-09-18T00:00:00Z

Hardware Engineer

Lavergne, Tennessee
onsite
Permanent / Full Time
85000 - 95000 USD / Yearly
We're partnering with a growing technology organization in Nashville that is seeking a Hardware Engineer to support hardware testing, debugging, and product development efforts. This is an excellent opportunity for an engineer who enjoys hands-on troubleshooting, collaborating across teams, and working closely with R&D and manufacturing to bring products to market. What You'll Do<ul><li>Set up and maintain hardware testing and debug environments.</li><li>Troubleshoot hardware issues and support root cause analysis efforts.</li><li>Partner with R&D, manufacturing, and vendor teams to resolve technical challenges.</li><li>Perform signal measurements and bring-up testing.</li><li>Utilize lab equipment including oscilloscopes and digital multimeters.</li><li>Support PCB rework, soldering, and hardware validation activities.</li><li>Assist manufacturing teams with debugging and troubleshooting efforts.</li></ul>
2026-09-11T00:00:00Z

Machine Learning Engineer

Los Angeles, California
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-09-02T00:00:00Z

Machine Learning Engineer

Los Angeles, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Machine Learning Engineer

Menlo Park, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Sr. MLOps Engineer

King of Prussia, Pennsylvania
onsite
Permanent / Full Time
165000 - 185000 USD / Yearly
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations. Responsibilities: • Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability. • Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs. • Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time. • Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability. • Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes. • Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact. • Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models. • Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements. • Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices. • Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
2026-09-24T00:00:00Z

Product Engineer

Langhorne, Pennsylvania
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are seeking a technically strong Product Engineer to support the development, quality, compliance, and ongoing improvement of our client’s diverse product portfolio. This Product Engineer will serve as a key technical resource across product development and will work closely with international manufacturing partners, internal product and quality teams, sales, and branch operations.The ideal candidate brings hands-on knowledge of refrigeration and HVAC/R equipment, strong engineering judgment, and the ability to translate technical requirements into practical product solutions. Experience working with overseas manufacturers, particularly within a private-label or distribution environment, is highly valued. How You Will Make an Impact:<ul><li>Manage the technical lifecycle of assigned products, establishing and maintaining engineering requirements, specifications, and performance standards from initial development through commercialization.</li><li>Support a broad product portfolio that includes ductless and inverter-based ducted systems, refrigerants, hoses, tools, components, and replacement parts.</li><li>Analyze engineering drawings, technical documentation, specifications, and manufacturer data to identify design, performance, and manufacturability considerations.</li><li>Collaborate with international factory partners to refine product designs, resolve technical concerns, and ensure products meet established requirements.</li><li>Work closely with the international office and manufacturing teams to create, update, and standardize product specifications and technical documentation.</li><li>Oversee engineering aspects of product compliance and certification for the North American market, including UL, ETL, AHRI, EPA 608, and DOE requirements.</li><li>Investigate product failures and technical issues through structured root-cause analysis and coordinate corrective and preventive actions with suppliers.</li><li>Contribute technical expertise to product planning by researching competing products, conducting teardown evaluations, and assessing new technologies and market developments.</li><li>Assist with new product introductions by coordinating third-party testing, certification activities, and technical approvals.</li><li>Prepare and maintain product documentation, including installation instructions, troubleshooting materials, technical notices, and product bulletins.</li><li>Track changes to HVAC/R industry standards and government regulations and communicate potential impacts to the product and compliance teams.</li><li>Work with Sales and Marketing to create technical product resources, competitive comparison materials, training content, and other tools that support the field organization.</li></ul>
2026-09-23T00:00:00Z

Engineering Manager

Glen Rock, Pennsylvania
onsite
Permanent / Full Time
140000 - 145000 USD / Yearly
We are looking for an experienced Engineering Manager to oversee and enhance engineering functions within a chemical manufacturing environment. This role is integral to ensuring operational excellence, compliance with safety standards, and the successful execution of capital projects. The position is based in Glen Rock, Pennsylvania, and offers an opportunity to lead a multidisciplinary team in driving innovation and reliability. Responsibilities:• Provide leadership and guidance to a team of engineers across multiple disciplines, fostering attention to detail and strong performance.• Define engineering priorities, allocate resources effectively, and align team efforts with organizational safety, production, and capital objectives.• Oversee the planning and execution of capital projects, including budgeting, scheduling, contractor management, and commissioning.• Drive process improvement initiatives to enhance yield, throughput, energy efficiency, and cost-effectiveness.• Ensure strict compliance with safety, environmental, and regulatory standards applicable to chemical manufacturing.• Collaborate with operations and maintenance teams to improve equipment reliability, minimize downtime, and support continuous improvement.• Lead risk assessments, process hazard analyses (PHAs), and incident investigations to enhance workplace safety.• Review and approve technical designs, specifications, and other engineering documentation to ensure quality and accuracy.• Manage the engineering department budget, including planning for capital expenditures and operational expenses.• Contribute to long-term site strategies, including technology upgrades, facility expansions, and modernization efforts.
2026-09-01T00:00:00Z

NPI Mechanical Engineer

Lavergne, Tennessee
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We're partnering with an industry-leading technology manufacturer in Nashville that is seeking an NPI Mechanical Engineer to support new product introductions, production readiness, and mechanical design improvements. This role offers the opportunity to work closely with U.S. manufacturing teams and global design teams to bring innovative products from development into production. What You'll Do<ul><li>Lead and support New Product Introduction (NPI) activities from development through production.</li><li>Collaborate with R&D, manufacturing, and customer support teams to resolve mechanical engineering challenges.</li><li>Drive manufacturability and assembly readiness for new products.</li><li>Design and validate fixtures, jigs, and mechanical components for testing and production.</li><li>Provide Design for Manufacturability (DFM) and Design for Assembly (DFA) recommendations.</li><li>Review engineering drawings, tolerances, and specifications for accuracy and compliance.</li><li>Conduct failure analysis and implement corrective actions for mechanical and structural issues.</li><li>Support tooling, sheet metal, and plastic component design, fabrication, and inspection.</li><li>Develop and maintain SOPs, work instructions, and test plans.</li><li>Partner with global engineering teams to ensure successful product launches and production support.</li></ul>
2026-09-15T00:00:00Z

Quality Engineer

Lockport, New York
onsite
Permanent / Full Time
60000 - 80000 USD / Yearly
Robert Half Permanent Placement is excited to partner with an innovative manufacturer in Lockport, NY on their search for a Quality Engineer. This exciting role has a starting salary of $60,000 - $80,000 depending on experience and a comprehensive benefits package. Our great client has newly created this position that comes with excellent career growth opportunity for someone with a quality and safety mindset. Responsibilities include but not limited to: <ul><li>Develop, implement, and maintain quality procedures, work instructions, inspection methods, and testing protocols to ensure compliance with customer, regulatory, and internal quality standards</li><li>Evaluate manufacturing processes, analyze quality data and trends, and lead continuous improvement initiatives that enhance product quality, reduce waste, and improve operational efficiency</li><li>Conduct product, material, equipment, and process validation activities, including testing, calibration management, statistical analysis, and documentation of results </li><li>Lead investigations involving nonconforming materials, customer complaints, and corrective and preventive actions, performing root cause analysis and implementing effective corrective actions</li><li>Support and maintain the Quality Management System including safety and quality certifications, customer specifications, raw material specifications, and finished product requirements</li><li>Train production and quality personnel on quality systems, inspection methods, new equipment, and standard operating procedures to ensure consistent execution across the organization</li><li>Support customer and certification audits, respond to customer quality inquiries, maintain inspection and calibration records, and serve as backup to the Director of Quality as needed</li></ul>
2026-09-03T00:00:00Z

Quality Engineer

Fort Atkinson, Wisconsin
onsite
Permanent / Full Time
80000 - 90000 USD / Yearly
We are looking for a detail-oriented Quality Engineer to support manufacturing operations in Fort Atkinson, Wisconsin. This role partners closely with engineering, production, purchasing, and quality teams to strengthen product reliability, improve process performance, and help maintain compliance with customer and industry standards. The position combines hands-on technical problem-solving with data-driven quality improvement across new and existing products. Responsibilities: • Track quality performance indicators such as inspection results, test outcomes, warranty trends, customer feedback, and corrective action response times to drive improvement efforts. • Help sustain compliance with ISO 9001 requirements by supporting quality system activities, documentation, and audit readiness. • Participate in internal and external audits and assist with follow-up actions to address findings and strengthen process control. • Analyze production and quality data to uncover recurring issues, identify improvement opportunities, and support informed decision-making. • Lead or contribute to root cause investigations and implement corrective and preventive measures to resolve product and process concerns. • Partner with suppliers and purchasing teams to address vendor-related quality issues and improve incoming material performance. • Review drawings, specifications, and electrical schematics to verify manufacturability, assembly requirements, and documentation accuracy. • Provide technical support for new product launches, test fixture setup, continuity test programming, and troubleshooting of board assembly issues to the component level. • Evaluate manufacturing methods to improve workflow, labor efficiency, product flow, and production capacity while maintaining accurate technical records. • Travel between company and customer locations as needed to support audits, quality reviews, training activities, and issue resolution.
2026-09-30T00:00:00Z

SOC Engineer

Chicago, Illinois
onsite
Permanent / Full Time
95000 - 125000 USD / Yearly
We are seeking a Senior SOC Engineer to help monitor, detect, investigate, and respond to cybersecurity threats across enterprise environments. This role is responsible for strengthening security operations, improving detection capabilities, and supporting incident response efforts to protect systems, networks, and data. The ideal candidate brings deep experience in security operations, threat detection, incident investigation, and security tooling. This person is analytical, collaborative, and able to operate effectively in fast-paced environments where timely response and strong judgment are critical. Key Responsibilities<ul><li>Monitor security events, alerts, and incidents across networks, endpoints, cloud environments, and applications.</li><li>Investigate suspicious activity, triage alerts, and determine severity, impact, and appropriate response actions.</li><li>Lead or support incident response activities, including containment, eradication, recovery, and post-incident analysis.</li><li>Develop, tune, and maintain SIEM use cases, correlation rules, dashboards, and alerting logic.</li><li>Analyze logs and telemetry from multiple security tools to identify threats, anomalies, and indicators of compromise.</li><li>Collaborate with infrastructure, engineering, and IT teams to remediate vulnerabilities and strengthen security controls.</li><li>Conduct threat hunting activities to proactively identify malicious behavior or hidden risks.</li><li>Support the development and maintenance of SOC processes, playbooks, runbooks, and escalation procedures.</li><li>Mentor junior analysts and contribute to the maturity of security operations practices.</li><li>Recommend improvements to detection engineering, incident handling, and operational workflows.</li><li>Prepare incident reports, metrics, and executive-ready summaries for technical and non-technical stakeholders.</li><li>Stay current on emerging threats, attacker techniques, and cybersecurity best practices.</li></ul>
2026-09-22T00:00:00Z

M365 Engineer

Madison, Wisconsin
remote
Temporary / Contract
58 - 66 USD / Hourly
Senior Microsoft 365 / Copilot & Power Platform EngineerWe are seeking a senior Microsoft technology professional to support enterprise Microsoft 365 initiatives, with a strong emphasis on Microsoft Copilot/Copilot Studio and Power Platform. This role combines hands-on solution development and implementation with administration, engineering, governance, optimization and ongoing support.What You’ll Do<ul><li>Design, build and implement solutions across Microsoft 365, Copilot and Power Platform</li><li>Lead or support end-to-end Microsoft Copilot Studio deployments</li><li>Develop and implement generative AI/Copilot solutions that improve business processes and user experiences</li><li>Build Power Platform solutions while also supporting governance, security, environments and enterprise rollout strategies</li><li>Administer and engineer Microsoft 365 environments, including Teams, SharePoint Online, Exchange Online, Microsoft Purview and Viva</li><li>Develop and maintain governance, security, compliance and adoption strategies</li><li>Automate administrative and operational processes using PowerShell and Microsoft Graph API</li><li>Troubleshoot and optimize Microsoft 365 environments and enterprise solutions</li><li>Create Power BI dashboards and reports to support operational and business needs</li><li>Participate in enterprise modernization, migration and continuous improvement initiatives</li></ul>
2026-09-30T00:00:00Z

Platform Engineer

Lehi, Utah
onsite
Permanent / Full Time
170000 - 218000 USD / Yearly
We are seeking a Principal Platform Engineer to help shape the technical direction of our cloud platform capabilities and serve as a senior technical partner across engineering, security, and architecture. This role operates at an organizational level, driving platform strategy, leading cross-team technical initiatives, and strengthening our cloud security posture across an expanding AWS environment.You will work closely with our Security team as an embedded partner on key platform security efforts, while also coordinating with another Principal Engineer on the Platform team to align and divide technical ownership. This is a highly cross-functional role, requiring strong collaboration with application teams, security, compliance, and architecture to ensure platform services and infrastructure effectively support the broader organization.Responsibilities:<ul><li>Lead the design and continuous improvement of secure, scalable platform solutions in AWS environments.</li><li>Partner with engineering teams across the organization to drive broad technical initiatives and influence platform strategy.</li><li>Build and maintain infrastructure as code using Terraform to standardize deployments and improve operational consistency.</li><li>Develop and enhance platform tooling and automation using languages such as Java, Python, Go, or C#.</li><li>Strengthen cloud security controls by implementing and managing services such as Security Hub, GuardDuty, Config, CloudTrail, secrets management, and private networking patterns.</li><li>Support containerized workloads by improving Docker security practices and optimizing deployment patterns for services running on EC2, Fargate, and other managed platforms.</li><li>Advance CI/CD capabilities through orchestration and automation tools including GitHub Actions, Jenkins, CircleCI, or similar technologies.</li><li>Collaborate on secure software delivery practices, including source control standards, vulnerability scanning, and supply chain protection measures.</li><li>Contribute to agile delivery processes and provide technical leadership that helps teams execute complex platform initiatives effectively.</li></ul>
2026-09-23T00:00:00Z

Materials Manager

Philadelphia, Pennsylvania
onsite
Permanent / Full Time
80000 - 90000 USD / Yearly
Robert half is seeking a Materials Manager to oversee inventory strategy, purchasing activity, and receiving operations for a manufacturing environment client in the Philadelphia area. This role works closely with production, operations, and finance teams to keep materials flowing efficiently, maintain accurate data, and support reliable customer delivery. The ideal candidate brings strong analytical judgment, hands-on procurement experience, and the ability to improve inventory control processes while guiding day-to-day warehouse receiving activity. Responsibilities:<ul><li>Direct material planning activities to maintain appropriate stock levels for raw materials, components, packaging, and operational supplies.</li><li>Evaluate demand, lead times, reorder settings, and safety stock levels to support efficient replenishment decisions.</li><li>Prepare and manage purchase orders from issuance through delivery, receipt confirmation, and final reconciliation.</li><li>Act as a primary resource for the company ERP platform, supporting accurate transaction processing and effective system use.</li><li>Maintain reliable purchasing, inventory, receiving, and supplier records to preserve data accuracy across the operation.</li><li>Lead daily receiving functions and provide supervision and direction to one team member.</li><li>Organize cycle counts, audit activity, and stock adjustments to strengthen inventory accuracy and control.</li></ul>
2026-09-16T00:00:00Z

Principle Engineer

Jacksonville, Florida
onsite
Permanent / Full Time
155000 - 195000 USD / Yearly
We are looking for a skilled Software Developer to join our dynamic team in Jacksonville, Florida. In this role, you will design, develop, and maintain software solutions that meet business needs while ensuring high-quality performance and reliability. This position offers an exciting opportunity to work with cutting-edge technologies and contribute to innovative projects. Responsibilities: • Develop and maintain software applications using .NET, C#, ASP.NET, and other relevant frameworks. • Collaborate with cross-functional teams to gather requirements and design technical solutions. • Write clean, efficient, and well-documented code to ensure high performance and scalability. • Troubleshoot and resolve software issues to maintain system stability. • Conduct testing and debugging to ensure functionality meets specifications. • Stay updated with emerging technologies and apply them to improve software development processes. • Participate in code reviews to ensure adherence to best practices and standards. • Create technical documentation to support development processes and user understanding. • Optimize application performance by analyzing and addressing bottlenecks. • Provide ongoing support and maintenance for existing software systems.
2026-09-09T00:00:00Z

Design Project Engineer

Simi Valley, California
onsite
Permanent / Full Time
160000 - 185000 USD / Yearly
We are looking for a Design Project Engineer to drive product development initiatives from early concept through release in Simi Valley, California. This position partners with engineering, research, and commercial teams to shape new solutions, refine existing products, and support successful handoff into manufacturing. The ideal candidate combines technical design capability with strong project coordination skills and a practical approach to balancing performance, quality, and cost. Responsibilities: • Lead product development efforts by reviewing opportunities, defining technical direction, and moving projects from concept to production readiness. • Partner with cross-functional stakeholders to assess new ideas, determine feasibility, and align engineering work with business and market needs. • Investigate competitive products, current technologies, material options, and manufacturing methods to inform design decisions. • Create project roadmaps, engineering specifications, and design proposals, then communicate recommendations clearly to key stakeholders. • Direct prototype builds and validation activities, analyze test results, and implement improvements to address functional or durability concerns. • Guide updates to existing products to enhance usability, performance, manufacturability, or overall cost effectiveness. • Oversee design control documentation and coordinate the transition of finalized designs into production environments. • Manage schedules, priorities, and scope changes across internal contributors and external engineering partners to keep programs on track. • Make sound engineering decisions that support product quality while meeting cost and performance objectives.
2026-09-28T00:00:00Z

Artificial Intelligence (AI) Engineer

Monroe, New York
onsite
Permanent / Full Time
150000 - 225000 USD / Yearly
We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools. Key Responsibilities: <ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul>
2026-09-01T00:00:00Z

Artificial Intelligence (AI) Engineer

Lawrenceville, Georgia
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization. Responsibilities: • Partner with business leaders to understand operational pain points and identify where AI can create measurable value. • Translate business needs into solution concepts, technical approaches, and implementable AI initiatives. • Design, develop, test, and deploy AI and machine learning applications that address real-world business problems. • Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities. • Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow. • Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities. • Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes. • Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
2026-09-09T00:00:00Z

Artificial Intelligence (AI) Engineer

Brookfield, Wisconsin
onsite
Permanent / Full Time
150000 - 175000 USD / Yearly
We are looking for an experienced Artificial Intelligence (AI) Engineer to create practical, scalable AI solutions that help improve business performance and streamline operations in Brookfield, Wisconsin. In this role, you will partner with technical teams and business leaders to turn complex challenges into intelligent applications, machine learning systems, and generative AI capabilities. The ideal candidate brings a strong software engineering foundation along with hands-on experience delivering AI solutions in cloud environments. Responsibilities: • Build and implement AI, machine learning, and generative AI solutions that address business and operational needs. • Develop intelligent applications such as virtual assistants, chatbot experiences, copilots, and automated workflows. • Train, evaluate, and refine machine learning models to improve performance, reliability, and business impact. • Create and support retrieval-augmented generation solutions and related applications for knowledge-driven use cases. • Work closely with stakeholders to uncover opportunities where AI can enhance processes, decision-making, and user experiences. • Connect AI capabilities with enterprise systems and cloud-based platforms to enable practical adoption at scale. • Establish model deployment and support practices, including monitoring, governance, and lifecycle management. • Apply security, compliance, and responsible AI standards throughout solution design, development, and release. • Research new AI tools and technologies and recommend options that align with organizational goals. • Produce clear technical documentation covering solution architecture, workflows, and implementation details.
2026-09-28T00:00:00Z

Artificial Intelligence (AI) Engineer

Lincolnton, North Carolina
remote
Temporary / Contract
71.25 - 82.5 USD / Hourly
AI/LLM Engineer / Solutions Architect - no 3rd parties, no C2C - no must be eligible to work in the U.S. - Remote with 2 weeks onsite to onboard We are looking for an Artificial Intelligence (AI) Engineer to lead practical AI development efforts for a manufacturing organization in Lincolnton, North Carolina. This Long-term Contract position will focus on creating production-ready automation tools and intelligent workflows that improve decision-making, streamline operations, and uncover business insights from enterprise data. The role is best suited for someone who can translate complex operational needs into scalable AI solutions while partnering closely with cross-functional teams such as Finance and Sales. Responsibilities: • Design and deploy AI-powered applications that automate recurring operational activities and improve workflow efficiency across the business. • Build intelligent solutions that analyze enterprise and operational data to identify trends, risks, and opportunities that support growth and performance. • Create tools that provide visibility into customer purchasing behavior, inventory conditions, material planning, and seasonal business patterns. • Develop AI-driven capabilities that help teams investigate operational issues, uncover contributing factors, and support faster resolution. • Integrate AI models and services with existing business platforms, data sources, and external systems through APIs and structured pipelines. • Partner with stakeholders in Finance, Sales, and other functional areas to define use cases, prioritize deliverables, and align solutions with business goals. • Establish practical standards for AI implementation, including solution scope, governance, and responsible deployment practices. • Produce market intelligence solutions that monitor external signals such as public-sector funding activity, bid opportunities, and competitor developments. • Participate in early onsite collaboration to understand the manufacturing environment, team workflows, and operational priorities before broader delivery begins.
2026-09-25T00:00:00Z

Artificial Intelligence (AI) Engineer

Jupiter, Florida
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create practical solutions that improve how teams work, analyze information, and make decisions. This position is based in Jupiter, Florida, and focuses on designing intelligent applications, workflow automations, and data-driven tools that support business and financial operations. You will collaborate with stakeholders across the organization to translate open-ended challenges into reliable, scalable products built with modern engineering and cloud technologies. Responsibilities: • Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities. • Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency. • Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights. • Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support. • Automate recurring deliverables across finance, accounting, and operational reporting functions. • Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments. • Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes. • Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation. • Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
2026-09-22T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, Tennessee
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring for a Principal level Software Engineer to focus on agentic workflows and AI software products. In this role, you will lead full product development efforts while creating intelligent, scalable applications that combine agentic AI capabilities with modern web technologies. The position calls for a hands-on engineer who can build reliable backend systems, contribute to user-facing experiences, and partner across teams to deliver secure, high-performing solutions. Responsibilities:• Lead the full software development lifecycle for AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.• Create and refine agentic AI workflows that support business objectives and integrate effectively with application services.• Build, test, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.• Develop and maintain RESTful or GraphQL interfaces that enable dependable communication between applications and services.• Contribute to front-end development with React, ensuring smooth interaction between user interfaces and backend functionality.• Architect and support microservices-based and distributed systems designed for reliability, flexibility, and growth.• Improve overall system efficiency by tuning application performance, refining database access patterns, and managing cloud resource consumption.• Apply strong security practices by implementing access control, authentication, and authorization measures across applications.• Oversee containerized delivery processes and automated deployment workflows using Docker and CI/CD tools, while diagnosing and resolving production issues in cloud environments.• Work closely with product, design, and DevOps partners to deliver maintainable, well-documented solutions that meet project goals.
2026-09-18T00:00:00Z

Staff Engineer

Jacksonville, Florida
onsite
Permanent / Full Time
135000 - 150000 USD / Yearly
We are looking for a skilled Software Developer to join our team in Jacksonville, Florida. In this role, you will design, develop, and maintain robust software solutions while collaborating with cross-functional teams to deliver high-quality applications. This position offers an exciting opportunity to work with cutting-edge technologies and contribute to innovative projects. Responsibilities: • Develop and maintain software applications using .NET and C# programming languages. • Collaborate with team members to design and implement efficient solutions for business requirements. • Write clean, scalable, and maintainable code following best practices and coding standards. • Troubleshoot and debug software issues to ensure optimal performance and reliability. • Participate in code reviews to maintain high-quality standards and improve team collaboration. • Work with ASP.NET to build dynamic and responsive web applications. • Utilize JavaScript for front-end development and interactive features. • Stay updated on the latest advancements in the .NET Framework and related technologies. • Provide technical support and guidance to team members as needed. • Test software solutions to ensure functionality, security, and user experience.
2026-09-09T00:00:00Z

Software Engineer

Westlake, Ohio
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
We are looking for a Software Engineer to join our team in Westlake, Ohio. This role is ideal for a developer who enjoys building reliable applications, creating integrations, and contributing to modern web solutions in a service-focused environment. You will work across backend and frontend technologies, partner with cross-functional teams, and help deliver scalable software that supports business needs. Responsibilities: • Design, build, and maintain software applications using C# and the .NET ecosystem with a strong focus on clean, object-oriented development practices. • Create and support web services, console applications, and web-based solutions that meet functional and performance expectations. • Develop responsive user interfaces using modern JavaScript frameworks such as React or Angular, with attention to usability across devices. • Build and maintain custom system integrations by working with SDKs, APIs, and web services to connect business platforms effectively. • Write and optimize SQL queries, including joins and aggregations, to support application functionality and data analysis needs. • Use Azure DevOps and version control processes to manage source code, track changes, and support collaborative development. • Troubleshoot application issues, identify root causes, and deliver practical solutions that improve system stability and performance. • Collaborate with technical and non-technical stakeholders to understand requirements, communicate progress, and deliver business-focused solutions.
2026-09-08T00:00:00Z

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