274 Results for Ai Engineer Jobs in Secondary

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AI Engineer

Boca Raton, FL
remote
Temporary / Contract
55.00 - 60.00 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.
2026-10-05T15:04:14Z

Lead Artificial Intelligence (AI) Engineer

Avon, MN
onsite
Permanent / Full Time
130000.00 - 190000.00 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.
2026-10-06T14:43:44Z

AI Engineer

Jacksonville, FL
remote
Temporary to Hire
- USD / Hourly
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.
2026-10-22T13:14:05Z

AI Engineer

Fort Washington, PA
remote
Temporary / Contract
55.00 - 60.00 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.
2026-10-01T20:25:30Z

Artificial Intelligence (AI) Engineer

Lawrenceville, GA
onsite
Permanent / Full Time
120000.00 - 150000.00 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.
2026-10-21T12:53:47Z

AI Engineer

Little Rock, AR
remote
Permanent / Full Time
120000.00 - 130000.00 USD / Yearly
AI Development & Engineering<ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul>Automation & Systems Integration<ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul>AI Infrastructure & Deployment<ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul>Business Collaboration<ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li><li> </li></ul>
2026-11-03T14:53:39Z

AI Engineer

Memphis, TN
remote
Permanent / Full Time
120000.00 - 130000.00 USD / Yearly
AI Development & Engineering<ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul>Automation & Systems Integration<ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul>AI Infrastructure & Deployment<ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul>Business Collaboration<ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li></ul>
2026-11-03T14:33:38Z

AI Software Engineer

Nashville, TN
remote
Temporary / Contract
80.00 - 95.00 USD / Hourly
Robert Half is seeking an innovative AI Software Engineer to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments. This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences. Key Responsibilities<ul><li>AI Application Development: Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li>LLM Integration: Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li>Machine Learning Solutions: Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li>Software Engineering: Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li>Data Processing: Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li>Cloud Deployment: Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li>Model Optimization: Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li>Collaboration: Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li>Documentation: Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li>Research & Innovation: Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul>
2026-11-03T15:38:40Z

Artificial Intelligence (AI) System Engineer

Albuquerque, NM
onsite
Permanent / Full Time
- USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions. Responsibilities:• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.Other duties as needed
2026-10-16T14:48:47Z

Artificial Intelligence (AI) Engineer

Monroe, NY
onsite
Permanent / Full Time
150000.00 - 225000.00 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>
2026-10-08T14:03:45Z

Artificial Intelligence (AI) Engineer

Conshohocken, PA
onsite
Permanent / Full Time
170000.00 - 180000.00 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to help turn promising AI concepts into reliable, scalable solutions used across the business. This role works closely with technology, product, and operational teams in Conshohocken, Pennsylvania to guide practical delivery decisions, strengthen production AI systems, and ensure solutions are secure, governable, and useful for everyday workflows. The ideal candidate combines hands-on engineering depth with strong judgment, enabling teams and stakeholders to move from experimentation to measurable business impact. Responsibilities: • Collaborate with cross-functional technology and product teams to advance AI initiatives from early testing into stable production environments while aligning with existing ownership across the organization. • Design, build, and support production-ready AI systems, while providing technical guidance and mentorship to other engineers contributing to delivery efforts. • Define and improve the end-to-end productionization process for AI solutions, including system architecture, model evaluation, performance optimization, cost management, observability, and continuous iteration. • Embed AI capabilities into operational workflows so that teams gain practical adoption, improved efficiency, and stronger output quality rather than isolated proof-of-concept results. • Apply responsible AI practices that support healthcare-oriented expectations around privacy, security, governance, and model oversight without slowing delivery unnecessarily. • Assess third-party platforms, vendors, and integration approaches to identify scalable options and avoid tools that create fragmented or short-term solutions. • Drive automation opportunities across content and compliance-related processes to create more efficient and differentiated delivery capabilities. • Contribute technical expertise during client discussions, proposals, and new business efforts by clearly representing what can be built and delivered in real-world timelines. • Engage confidently with client and internal stakeholders across IT, brand, medical, and agency functions, translating technical considerations into practical business decisions. • Help non-technical users adopt AI tools by promoting governed, accessible solutions that fit the needs of teams beyond engineering.
2026-11-03T14:03:41Z

Artificial Intelligence (AI) Engineer

Cincinnati, OH
onsite
Temporary / Contract
- USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to join a long-term contract opportunity based in Cincinnati, Ohio. In this role, you will create and operationalize AI and machine learning solutions with a strong focus on generative AI, helping translate business needs into secure, scalable applications. You will collaborate across technical and business teams to deliver production-ready models, strengthen AI adoption, and support measurable outcomes through thoughtful engineering and evaluation. Responsibilities: • Create, train, and deploy scalable AI and machine learning solutions, including generative AI applications such as large language models, retrieval-augmented systems, and prompt-driven workflows. • Build and maintain data pipelines, feature preparation processes, and model training and evaluation jobs using Python and established machine learning frameworks. • Deliver models into production as APIs or batch processes, and improve inference performance with attention to speed, reliability, and cost efficiency. • Assess emerging generative AI tools and model architectures, including embeddings, vector search, and diffusion-based approaches, to support defined business use cases. • Develop prompt strategies, orchestration flows, safety controls, and evaluation methods, using structured testing to improve response quality and reduce risk. • Apply MLOps and LLMOps practices such as experiment tracking, version control, deployment automation, monitoring, alerting, and drift detection. • Integrate AI services with enterprise data platforms and business systems, including APIs, event-driven architectures, data warehouses, and reporting environments. • Partner with product, analytics, IT, and data architecture teams to clarify requirements, document technical decisions, and deliver solutions that meet agreed objectives. • Promote responsible AI practices by incorporating privacy, security, fairness, and content safety considerations into model behavior, testing, and deployment. • Track performance indicators for AI initiatives, share insights on effectiveness and adoption, and stay current with advances in generative AI and broader machine learning methods.
2026-11-04T13:48:46Z

AI Engineer

Jacksonville, FL
onsite
Temporary / Contract
- USD / Hourly
We are seeking an experienced AI Engineer to join a growing technology team focused on building intelligent, scalable, and cloud-native applications. This role is ideal for a hands-on engineer who combines strong .NET full-stack development experience with expertise in Microsoft Azure and modern AI technologies, including Large Language Models (LLMs), Generative AI, and AI-powered automation solutions.You will play a key role in designing, developing, and deploying next-generation applications that leverage artificial intelligence to improve business operations, customer experiences, and decision-making.Responsibilities<ul><li>Design, develop, and deploy AI-powered applications using Azure services and modern AI frameworks.</li><li>Build and integrate Generative AI solutions utilizing Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and conversational AI technologies.</li><li>Develop scalable backend services utilizing C#, .NET Core, APIs, and microservices architectures.</li><li>Build modern front-end applications using technologies such as React, Angular, or Blazor.</li><li>Develop AI agents, copilots, chatbots, and workflow automation solutions.</li><li>Integrate Azure AI services including:</li><li>Azure OpenAI</li><li>Azure Cognitive Services</li><li>Azure AI Search</li><li>Azure Machine Learning</li><li>Design and optimize data pipelines supporting AI and analytics initiatives.</li><li>Collaborate with product, business, and engineering teams to identify AI use cases and technical solutions.</li><li>Implement best practices around security, scalability, monitoring, and performance optimization.</li><li>Participate in architecture discussions, code reviews, and technical leadership activities.</li></ul>
2026-11-05T12:43:45Z

AI Manager

Houston, TX
onsite
Permanent / Full Time
175000.00 - 225000.00 USD / Yearly
We are looking for an experienced AI Manager to lead the delivery of enterprise AI applications in Houston, Texas. This role combines technical leadership with hands-on engineering, guiding full-stack AI solutions from data pipelines and backend services to user-facing applications powered by machine learning and generative AI. The successful candidate will work closely with cross-functional partners while building a strong engineering culture centered on quality, accountability, and practical innovation. Responsibilities: • Lead and develop a team of full-stack AI engineers supporting multiple projects at the same time, providing direction, mentorship, and consistent performance feedback. • Contribute directly to active engineering work by helping design, build, and refine AI-enabled applications across frontend, backend, and data environments. • Architect scalable solutions that connect data ingestion, application services, machine learning capabilities, and user interfaces into cohesive products. • Establish and uphold engineering practices related to code reliability, testing discipline, security controls, and technical documentation. • Review architecture decisions and software deliverables to maintain a high standard for performance, maintainability, and production readiness. • Partner with product leaders, data engineers, and AI specialists to translate business goals into practical technical plans and delivered solutions. • Promote responsible use of AI-assisted development tools and define working standards that improve code quality and team effectiveness. • Assess emerging AI engineering tools and methodologies, sharing recommendations and embedding useful practices across the team. • Support hiring, coaching, and team development efforts to strengthen capability, accountability, and delivery excellence.
2026-10-05T23:18:44Z

AI Engineer

La Jolla, CA
onsite
Permanent / Full Time
150000.00 - 200000.00 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.
2026-10-18T02:48:41Z

Artificial Intelligence (AI) Engineer

Jacksonville, FL
onsite
Permanent / Full Time
- 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.
2026-10-08T20:48:45Z

Artificial Intelligence (AI) Engineer

Irvine, CA
onsite
Permanent / Full Time
150000.00 - 160000.00 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions. Responsibilities: • Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making. • Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions. • Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost. • Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way. • Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability. • Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns. • Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation. • Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions. • Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
2026-10-22T20:43:42Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
- 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.
2026-10-20T19:34:08Z

Artificial Intelligence (AI) Engineer

Jupiter, FL
onsite
Permanent / Full Time
70000.00 - 90000.00 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.
2026-11-03T13:34:02Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
- USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join our team. This position focuses on building intelligent applications and scalable software systems that support advanced AI-driven products in the real estate and property industry. The ideal candidate brings deep engineering expertise across modern backend development, API design, front-end integration, and agent-based AI architecture. You will play a key role in shaping production-ready AI solutions that are reliable, secure, and aligned with business goals. Responsibilities:• Lead full lifecycle development of AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.• Design and deliver agent-based AI solutions that support reasoning, multi-step execution, tool usage, memory handling, and workflow orchestration.• Build, test, and maintain scalable backend applications and services 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 web applications, internal platforms, databases, and external tools.• Develop React-based user interfaces and ensure smooth interaction between front-end components and backend services.• Architect microservices and distributed application patterns that improve scalability, resilience, and maintainability.• Improve system efficiency by tuning application performance, refining database usage, and managing cloud resources effectively.• Apply strong security practices across authentication, authorization, deployment, and production operations while supporting CI/CD pipelines and containerized environments.• Establish monitoring, tracing, evaluation, and debugging practices for AI systems in production, and resolve issues across cloud-based environments.• Partner with product, design, DevOps, data, and engineering teams while providing technical guidance on AI platform strategy and engineering standards.
2026-10-30T20:04:23Z

Artificial Intelligence (AI) Engineer

Irvine, CA
onsite
Permanent / Full Time
140000.00 - 170000.00 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.
2026-10-22T23:13:45Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
- 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.
2026-11-02T14:43:39Z

AI GTM Engineer (Contract)

Atlanta, GA
remote
Temporary / Contract
- USD / Hourly
Location: Atlanta, GA (Hybrid – standard remote/in-office split in Atlanta)Duration: Ongoing ContractEmployment Type: Full-Time Contract About the RoleWe are seeking an innovative, system-minded AI GTM Engineer to join our team on an ongoing contract basis. In this role, you will sit at the intersection of Revenue Operations, Sales, Marketing, and AI Technology. You will architect, automate, and scale intelligent systems that turn market signals into high-converting revenue motions.If you excel at building agentic workflows, leveraging data enrichment tools, and integrating custom AI logic directly into GTM tech stacks, this role offers an opportunity to directly shape our revenue infrastructure.Key Responsibilities<ul><li>AI & Agentic Workflow Architecture: Design, build, and deploy autonomous AI agents, LLM prompts, and intelligent workflows to automate inbound lead processing, outbound plays, and account personalization.</li><li>Signal & Data Orchestration: Build data waterfalls and signal-based triggers (intent data, hiring spikes, executive shifts) using modern tools (e.g., Clay, Apollo, Clearbit, OpenAI/Anthropic APIs) to surface high-value opportunities to revenue teams.</li><li>Tech Stack Integration: Wire AI capabilities directly into our CRM (Salesforce/HubSpot) and outreach tools, bridging gaps between disconnected sales/marketing applications via custom APIs and automation tools.</li><li>Experimentation & Playbook Design: Rapidly test, iterate, and optimize automated outreach, messaging variations, and routing rules based on performance metrics (reply rates, pipeline velocity, conversion lift).</li><li>Team Enablement & Technical Governance: Serve as a bridge between RevOps and frontline reps. Train sales and marketing teams on AI tool adoption, ensure data hygiene, and maintain operational stability.</li></ul>
2026-11-02T14:54:06Z

Software Engineer, AI

Los Angeles, CA
remote
Permanent / Full Time
160000.00 - 170000.00 USD / Yearly
Software Engineer, AI Company Overview A growing organization is seeking an AI Engineer to develop automation, data, and AI-driven solutions that improve business processes and operational efficiency. This role offers the opportunity to work on innovative projects while helping shape the organization's use of emerging technologies. Role Summary The AI Engineer will design, build, and support AI-powered applications, automation solutions, and data-driven workflows. The ideal candidate combines strong software engineering skills with experience delivering practical AI solutions in a business environment. Key Responsibilities<ul><li>Design, develop, and support AI-enabled applications and automation solutions.</li><li>Partner with business and technical teams to identify opportunities for process improvement.</li><li>Build integrations between AI solutions, data sources, and business applications.</li><li>Monitor solution performance and continuously improve reliability and effectiveness.</li><li>Develop and maintain technical documentation and best practices.</li><li>Support the evaluation and adoption of emerging AI technologies.</li></ul>
2026-10-09T18:04:08Z

AI Software Engineer

Phoenix, AZ
onsite
Temporary / Contract
47.50 - 55.00 USD / Hourly
We are looking for a skilled AI Software Engineer to join our team in Phoenix, Arizona. In this long-term contract role. We want a full-stack software engineer who ships at AI speed without giving up engineering judgment. You'll use AI coding agents as your main tool, and you'll be the person who knows when the agent is wrong. Responsibilities:· Build department workspaces end to end. Ticket hubs, queues, tiles and filters for Client Services, Legal, HR and Compliance (e.g. a ClickUp-style filter builder, a performance-review system, a legal case tracker).· Work on regulated workflows. Credit-dispute (e-OSCAR ACDV) queues with locking, auto-submit and audit trails, where a bug means a compliance issue, not just a broken screen.· Replace CollectOne, one department at a time. Read legacy SQL Server data, mirror it into Postgres, and rebuild the daily screens staff rely on.· Write database migrations safely. Plan apply-before-merge order, row-level security, and one-transaction-per-page-load rules.· Wire integrations. Microsoft Graph mailboxes into tickets, Amazon Connect call screens, AWS Bedrock AI features (reply suggestions, PDF invoice analysis), S3 uploads, Stripe and QuickBooks.· Drive AI agents well. Write clear prompts and specs, break work into small stacked PRs, and review every line the agent writes.· Keep CI honest. Respect the guard checks (page index, lint ratchet, migration hygiene, secret scanning) and add new guards when a mistake could repeat.· Sit with users. Turn a messy request from a supervisor into a clear spec, then show them the working screen.
2026-10-13T18:38:44Z

274 results for Ai Engineer in Secondary