97 Results for Ml Engineer Jobs

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AI Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced AI Engineer with a strong background in full-stack software development, C#/.NET programming, and Microsoft Azure to design, develop, and implement AI-driven applications and solutions. This role will focus on integrating Generative AI technologies into scalable, enterprise-level applications while leveraging modern cloud technologies and software engineering best practices. The ideal candidate is a hands-on developer who can build end-to-end solutions, integrate AI capabilities into existing systems, and contribute to the development of innovative, AI-powered applications.
2026-10-22T00:00:00Z

AI Engineer

Boca Raton, FL
remote
Temporary / Contract
55 - 60 USD / Hourly
We are looking for an AI Engineer to serve as a force multiplier for the client’s engineering organization. The role is part of an initiative to design, build, and scale AI-powered engineering workflows that dramatically increase developer productivity and accelerate software delivery. The client’s team is actively supporting a complex legacy-to-Python migration while maintaining multiple customer-facing applications. This role will be responsible for leveraging AI technologies to automate and optimize every phase of the Software Development Life Cycle (SDLC), including requirements analysis, code generation, testing, defect investigation, and release processes. Key Responsibilities:· Design and implement AI-powered workflows that automate software engineering processes across the SDLC.· Build and orchestrate multi-step AI agent frameworks for code analysis, generation, validation, testing, and feedback loops.· Develop reusable AI tooling, agent templates, and engineering playbooks adopted across multiple teams.· Create automated testing solutions, regression frameworks, and validation mechanisms using AI-assisted approaches.· Enhance CI/CD pipelines and DevOps processes through intelligent automation and release optimization.· Support large-scale legacy application modernization and business rule extraction initiatives.· Build Python-based automation tools for data processing, workflow orchestration, and engineering productivity.· Partner with developers, architects, and engineering leadership to identify and eliminate delivery bottlenecks.· Evaluate and implement emerging AI technologies that improve software development efficiency and quality.
2026-10-20T00:00:00Z

AI Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an AI Engineer to design, develop, and deploy AI-powered applications that solve real business challenges. This role will work closely with software engineering, data, and business teams to build scalable solutions leveraging Generative AI, Large Language Models (LLMs), machine learning, and cloud platforms.Responsibilities<ul><li>Design and develop AI-powered applications and services.</li><li>Build and optimize prompts, RAG pipelines, and AI workflows.</li><li>Integrate OpenAI, Azure OpenAI, and other LLM platforms into enterprise applications.</li><li>Develop APIs and microservices that support AI solutions.</li><li>Collaborate with data engineers and software developers to deploy AI models into production.</li><li>Monitor model performance and improve accuracy, reliability, and scalability.</li><li>Implement AI security, governance, and responsible AI practices.</li><li>Document technical designs and best practices.</li></ul>
2026-10-08T00:00:00Z

AI Engineer

Fort Washington, PA
onsite
Temporary / Contract
55 - 60 USD / Hourly
We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments. Responsibilities: • Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability. • Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools. • Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems. • Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests. • Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge. • Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution. • Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability. • Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
2026-10-01T00:00:00Z

AI Engineer

La Jolla, CA
onsite
Permanent / Full Time
150000 - 200000 USD / Yearly
We are looking for an AI Engineer to create practical, employee-facing applications that improve how internal teams find information, complete work, and make decisions. This role partners closely with business stakeholders to uncover operational challenges, shape effective solutions, and deliver reliable tools from concept through production support. The ideal candidate brings strong engineering depth, sound product judgment, and hands-on experience building applied AI systems that drive measurable efficiency and adoption. Responsibilities: • Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations. • Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices. • Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources. • Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed. • Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components. • Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements. • Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios. • Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise. • Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption. • Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.
2026-10-18T00:00:00Z

Field Engineer

Mountainside, NJ
onsite
Permanent / Full Time
95000 - 115000 USD / Yearly
We are looking for a Field Engineer to support customers, internal sales teams, and service partners by providing practical technical expertise that strengthens product adoption and long-term account growth. This role focuses on evaluating fluid system applications, recommending effective solutions, and helping customers improve reliability and performance. Based in Mountainside, New Jersey, the position also partners with cross-functional teams to advance custom solution opportunities and contribute technical insight to strategic initiatives. Responsibilities:• Build demand for priority products and service offerings by aligning technical recommendations with customer application needs.• Serve as a technical resource for installed systems, including issue review, return support, troubleshooting guidance, and field-based problem resolution.• Assess customer fluid systems, identify performance or efficiency gaps, and document findings with solution-focused recommendations.• Support customers with engineering-related assistance such as maintenance guidance, system adjustments, and application troubleshooting.• Create and deliver tailored technical presentations that address customer challenges and demonstrate the value of proposed solutions.• Partner with sales and customers to identify custom fabrication opportunities, including development of drawings, quotes, and P&ID documentation.• Recommend appropriate products for specific operating environments and application requirements.• Provide technical training and application support to internal teams and customers on product use and best practices.• Work closely with peer engineers and business partners to share knowledge, refine solutions, and support broader marketing or operational initiatives. Benefits:<ul><li>Medical</li><li>Vision</li><li>Dental</li><li>401K</li><li>PTO</li></ul>
2026-10-22T00:00:00Z

IT Engineer

San Antonio, TX
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
We are looking for an IT Engineer to support and enhance enterprise infrastructure across San Antonio, Texas. This role focuses on maintaining reliable systems, strengthening identity and network services, and contributing technical expertise to infrastructure and security initiatives. The ideal candidate brings hands-on experience across Microsoft platforms, cloud services, virtualization, backup technologies, and enterprise networking environments. Responsibilities: • Oversee the health, upkeep, and rollout of core infrastructure components, including servers, network hardware, and related enterprise systems. • Manage Microsoft identity and access platforms by administering, deploying, and resolving issues across Active Directory, Entra ID, and associated services. • Implement and support infrastructure solutions across cloud, on-premises, and endpoint environments while ensuring stable day-to-day operations. • Partner with security team members to complete infrastructure-related security work and help maintain a resilient technical environment. • Collaborate with internal and external solution delivery teams when advanced infrastructure expertise is needed for project execution. • Advise infrastructure leadership on emerging tools, operational improvements, and technical opportunities that can benefit the business. • Coordinate with IT business stakeholders to clarify expectations and communicate changes that may affect users or operations. • Serve as a senior escalation resource for complex incidents and technical problems that require advanced troubleshooting beyond the service desk. • Support network and operational technology environments, including work involving enterprise switching, wireless platforms, firewalls, and industrial systems where applicable.
2026-10-06T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
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, PA
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

Quality Engineer

Kentwood, MI
onsite
Permanent / Full Time
70000 - 100000 USD / Yearly
We are looking for an experienced Quality Engineer to support manufacturing quality and safety operations in Kentwood, Michigan. This position combines hands-on work on the production floor with office-based coordination to help maintain product standards, strengthen process performance, and support customer expectations. The ideal candidate brings a strong background in manufacturing quality systems, automotive core tools, and continuous improvement. This role also contributes to safety management and ongoing compliance with applicable industry standards. Responsibilities: • Lead quality planning and documentation activities for new product launches, engineering updates, and process enhancement efforts while coordinating with customers and internal departments. • Investigate quality concerns using structured problem-solving methods and drive corrective and preventive measures through completion. • Create, revise, and maintain key quality documents such as process flow diagrams, control plans, PFMEA records, and shop-floor work instructions. • Organize and perform measurement system evaluations, capability studies, and assessments of product, process, and equipment performance. • Partner with project and engineering teams to document, implement, and monitor quality-related changes throughout production. • Manage daily communication with customers, including responses and updates through customer portals, to ensure timely resolution of quality matters. • Conduct product and process audits, identify gaps, and follow through on improvement actions that support stronger operational results. • Support compliance with IATF 16949 and related quality standards by maintaining effective systems and promoting ongoing improvement. • Oversee safety management activities and help sustain a safe, compliant working environment across operations.
2026-10-22T00:00:00Z

Quality Engineer

Lockport, NY
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>
2026-10-16T00:00:00Z

Implementation Engineer

San Antonio, TX
remote
Permanent / Full Time
100000 - 120000 USD / Yearly
We are looking for an Implementation Engineer to lead the deployment and integration of enterprise technology solutions for customer environments in San Antonio, Texas. This role partners closely with client IT teams to prepare infrastructure, connect cloud-based services, and deliver secure, reliable implementations that align with business needs. The ideal candidate brings strong systems and networking knowledge, a methodical approach to documentation, and the ability to resolve technical issues with professionalism and urgency. Responsibilities: • Deploy and configure enterprise software across customer servers, workstations, and connected network devices. • Coordinate with client IT teams to assess infrastructure readiness and prepare environments for successful solution delivery. • Integrate platforms with identity and access management systems, including Azure Active Directory, Microsoft Entra ID, Google, Active Directory, and Okta. • Connect cloud services to customer networks while ensuring dependable performance, security, and compatibility. • Produce clear implementation records, configuration details, and support documentation for completed projects. • Investigate technical issues in existing installations and provide timely troubleshooting and resolution. • Use remote collaboration and support tools to assist customers, perform technical reviews, and complete implementation tasks. • Follow company policies, operational procedures, and applicable compliance and safety standards in all work activities. • Communicate openly with management regarding project status, risks, and other important matters affecting delivery.
2026-10-01T00:00:00Z

M365 Engineer

Denver, CO
remote
Temporary / Contract
71.25 - 82.5 USD / Hourly
We are looking for an experienced M365 Engineer to support enterprise cloud initiatives for a banking organization in Denver, Colorado. This Long-term Contract position is suited for a senior specialist who can independently guide solution design, technical delivery, and platform improvement across Microsoft 365 and Azure environments. The role focuses on building secure, scalable collaboration and identity solutions while partnering with technical and business teams to advance modernization goals. Responsibilities: • Architect, deploy, and refine Microsoft 365 and Azure-based solutions that align with enterprise performance, security, and scalability needs. • Provide senior-level technical leadership across the Microsoft platform, translating business objectives into practical cloud designs and implementation plans. • Manage and improve core Microsoft 365 services such as Exchange Online and SharePoint Online to support reliable communication and collaboration. • Drive initiatives related to security, compliance, governance, and identity management within the Microsoft ecosystem. • Assess emerging Microsoft AI capabilities, including Copilot, and recommend or implement use cases that improve productivity and operational efficiency. • Create cloud adoption approaches, technical standards, and modernization roadmaps to guide ongoing platform evolution. • Partner with infrastructure teams, security specialists, and business stakeholders to deliver well-integrated and sustainable solutions. • Resolve advanced technical issues, perform root-cause analysis, and offer expert guidance on complex platform challenges. • Produce clear architecture documentation, operational procedures, and technical recommendations for stakeholders and support teams.
2026-10-19T00:00:00Z

Platform Engineer

Wayzata, MN
onsite
Temporary / Contract
55 - 65 USD / Hourly
We are looking for an experienced Azure platform engineering specialist to support enterprise-scale cloud capabilities. This long-term contract position focuses on shaping, enhancing, and sustaining Azure platform services that enable business-critical applications and technology initiatives. The role calls for a hands-on engineer who can work independently, partner with cross-functional teams, and deliver reliable, secure, and scalable Azure solutions across a broad technical landscape. Responsibilities: • Architect, implement, and support Azure platform services that meet enterprise application and infrastructure needs. • Build and enhance Azure environments spanning network connectivity, gateway services, security controls, and container-based platforms. • Develop and maintain Azure management capabilities to improve governance, consistency, and operational efficiency. • Establish and support CI/CD workflows, DevOps practices, and repository standards to streamline platform delivery. • Configure and optimize Azure monitoring solutions to strengthen availability, performance visibility, and incident response. • Contribute to Azure AI and data platform initiatives, including support for modern AI-driven and data-centric services. • Evaluate existing Azure implementations and introduce improvements that raise performance, stability, and functionality. • Translate technical and business objectives into practical Azure platform designs and implementation plans. • Partner with application, infrastructure, and security teams to resolve complex platform issues and support ongoing product delivery.
2026-10-22T00:00:00Z

Materials Manager

Philadelphia, PA
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>
2026-10-21T00:00:00Z

Tool & Die Engineer

Des Moines, IA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Tool & Die Engineer - Manufacturing Location: Greater Des Moines area Salary: $80,000 - $100,000 *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Tool & Die Engineer Join a stable manufacturer that continues to invest in its people, products, and U.S. operations. This is an opportunity to work in a modern, climate-controlled facility where you'll design and improve tooling that directly impacts quality, efficiency, and production success. What You'll Do • Design and develop press tooling, dies, fixtures, and manufacturing solutions • Improve manufacturing processes and tooling performance • Review engineering drawings and blueprints • Support spare parts planning and documentation • Troubleshoot production issues and drive continuous improvement • Provide technical leadership and coaching to team members • Ensure product quality and compliance standards are met What We're Looking For • 5+ years of Tool & Die Engineering experience • Associate degree in Tool & Die Technology, Mechanical Engineering, or related field • CAD experience (SolidWorks preferred; AutoCAD, Mastercam, and KeyCreator a plus) • Strong blueprint reading, troubleshooting, and problem-solving skills • Leadership experience preferred Why Join? • $80,000 - $100,000 base salary • First shift: 7:00 AM – 3:00 PM • Financially sound company with exceptional stability • No history of layoffs • Climate-controlled facility • Growing business with new products and facility expansion • Opportunities for long-term career growth If you're an engineering-minded professional who enjoys solving complex manufacturing challenges and wants to make a tangible impact, we'd love to have a confidential conversation. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-14T00:00:00Z

Principle Engineer

Jacksonville, FL
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.
2026-10-21T00:00:00Z

Lead Artificial Intelligence (AI) Engineer

Avon, MN
onsite
Permanent / Full Time
130000 - 190000 USD / Yearly
We are looking for an experienced Lead Artificial Intelligence (AI) Engineer to guide the design and delivery of advanced AI solutions for a growing construction-focused organization in Avon, Minnesota. This role will lead the creation of scalable applications that turn complex project and operational data into practical, production-ready tools. The ideal candidate brings strong technical leadership, deep hands-on engineering expertise, and a track record of building reliable AI systems that integrate with enterprise platforms. Responsibilities: • Lead the technical direction, architecture, and full lifecycle delivery of a core software platform from early concept through production deployment and ongoing improvement. • Design and develop production-grade AI applications, including retrieval-based solutions, agent-driven workflows, tool orchestration, and review processes that incorporate human oversight. • Create robust evaluation frameworks and context management approaches to improve model quality, system reliability, and business relevance. • Connect AI capabilities with enterprise platforms such as Procore, Salesforce, Bluebeam, financial systems, and the organization’s Microsoft Fabric data environment. • Define and enforce engineering best practices across the AI team, including codebase organization, testing strategy, release management, and operational readiness. • Establish observability standards and monitor usage patterns, performance trends, and solution costs to support stable and efficient production systems. • Partner with cross-functional stakeholders to translate construction and project data into practical AI-enabled workflows and decision-support tools. • Ensure security and governance considerations are embedded throughout solution design, deployment, and ongoing maintenance.
2026-10-06T00:00:00Z

Design Project Engineer

Simi Valley, CA
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

Lead Data Engineer

Los Angeles, CA
remote
Permanent / Full Time
175000 - 180000 USD / Yearly
Lead Data Engineer Company Overview A media organization is seeking a Lead Data Engineer to support enterprise data, analytics, and emerging technology initiatives. This role offers the opportunity to lead technical projects, mentor engineers, and help shape the organization's data strategy. Role Summary The Lead Data Engineer will be a hands-on technical leader responsible for data engineering, analytics, automation, and AI-related initiatives. This role combines individual contribution, technical direction, team mentorship, and cross-functional collaboration. Key Responsibilities<ul><li>Lead the design, development, and support of enterprise data solutions.</li><li>Provide technical leadership and establish development best practices.</li><li>Oversee data pipelines, integrations, reporting, and automation initiatives.</li><li>Partner with business and technology stakeholders to prioritize work and deliver solutions.</li><li>Monitor data quality, reliability, and operational performance.</li><li>Mentor team members and support their technical development.</li><li>Evaluate emerging technologies and identify opportunities for innovation.</li></ul>
2026-10-09T00:00:00Z

Artificial Intelligence (AI) Engineer

Monroe, NY
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>
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building intelligent, production-ready applications that combine modern software engineering with advanced agent-based AI capabilities. The ideal candidate will lead solutions from early design through deployment, creating scalable services, responsive user experiences, and reliable AI-driven workflows that support business objectives. Responsibilities:• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.
2026-10-20T00:00:00Z

Artificial Intelligence (AI) Engineer

Jacksonville, FL
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale advanced generative AI solutions for a highly regulated financial services setting in Jacksonville, Florida. This position is ideal for a hands-on engineer who can turn concepts into dependable production applications while balancing speed, quality, and security. You will work across AI architecture, application development, and cloud deployment to deliver intelligent capabilities that support enterprise business goals. Responsibilities: • Design and implement generative AI applications and agent-based workflows that solve complex business challenges in a financial services environment. • Build end-to-end AI capabilities, including solution design, development, testing, deployment, and ongoing performance monitoring. • Connect large language models to enterprise products and operational processes to deliver practical, production-ready functionality. • Develop and maintain data preparation workflows such as document chunking, embedding generation, indexing, and vector search optimization. • Configure and manage cloud infrastructure using Terraform to support scalable, resilient, and secure AI services. • Engineer robust backend components and enterprise applications using C# and the Microsoft technology stack. • Collaborate with technical and business stakeholders to define requirements, prioritize deliverables, and drive high-quality execution. • Ensure AI systems meet expectations for reliability, governance, data protection, and compliance within a regulated industry. • Continuously refine models, pipelines, and application performance to improve accuracy, efficiency, and operational stability.
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Irvine, CA
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to join a team building intelligent applications and production-ready AI services in Irvine, California. This role combines software engineering, applied AI development, and operational ownership, with a focus on creating reliable user-facing tools and scalable backend systems. The ideal candidate brings hands-on experience with modern language model platforms, strong Python development skills, and the ability to translate business goals into practical AI solutions. Responsibilities: • Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration. • Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior. • Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features. • Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences. • Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring. • Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance. • Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage. • Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements. • Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
2026-10-22T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building production-ready AI solutions that combine agentic workflows, scalable backend engineering, and modern web application development. The ideal candidate will bring deep experience across AI system design, API development, cloud-based services, and cross-functional collaboration to deliver reliable, high-impact products. Responsibilities:• Lead full product development efforts from initial architecture through deployment and ongoing enhancement of AI-driven applications.• Design and implement advanced agentic AI systems that support reasoning, planning, memory, tool usage, and multi-step task execution.• Build, test, and maintain scalable backend services and APIs using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks such as Express or NestJS.• Create and support RESTful and GraphQL interfaces that connect AI capabilities with web applications, enterprise platforms, and external services.• Develop React-based user interface components and ensure smooth interaction between frontend experiences and backend systems.• Architect microservices and distributed application patterns that improve scalability, resiliency, and maintainability across production environments.• Establish evaluation, observability, and monitoring practices to measure AI system quality, reliability, latency, cost efficiency, and operational health.• Collaborate with product, design, DevOps, data science, and engineering teams to translate business goals into secure, scalable technical solutions.• Drive deployment automation, containerization, troubleshooting, and performance optimization across cloud-hosted applications and AI services.
2026-10-14T00:00:00Z

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