AI Developer

AI Developer

Our client is seeking an experienced AI Developer to design, build, and deploy AI-powered applications that address the growing demand for Generative AI solutions across the organization. This contract-to-hire opportunity is ideal for a hands-on engineer with a proven track record in developing production-ready AI applications using Python, modern agentic frameworks such as Lang Chain and Lang Graph, and cloud AI services like AWS Bedrock or Azure AI Foundry.

You will collaborate closely with architects, business stakeholders, and engineering teams to transform AI concepts into scalable, enterprise-ready solutions. The role emphasizes building agent-based applications, integrating large language models (LLMs), implementing retrieval-augmented generation (RAG) workflows, and deploying containerized AI applications in Kubernetes or Open Shift environments. You will also contribute to AI development standards, reusable frameworks, and best practices, while evaluating emerging AI tools and supporting production deployments.

This position offers opportunities for career growth, exposure to high-visibility AI initiatives, and a comprehensive benefits package.

Design, develop, and deploy AI-powered applications using Python and modern AI development frameworks

Build Generative AI solutions leveraging Lang Chain, Lang Graph, and enterprise AI platforms

Develop agent-based applications and workflows utilizing Model Context Protocol (MCP) tools and integrations

Integrate Large Language Models (LLMs) into enterprise applications via AWS Bedrock, Azure AI Foundry, or similar platforms

Develop Retrieval-Augmented Generation (RAG) workflows and integrate vector databases as needed

Create and deploy containerized AI applications within Kubernetes and Open Shift environments

Collaborate with architects, product teams, engineers, and business stakeholders to translate requirements into scalable AI solutions

Implement testing, monitoring, and observability practices to ensure reliable AI application performance

Optimize AI applications for scalability, security, and operational efficiency

Contribute to AI development standards, reusable frameworks, and engineering best practices

Evaluate emerging AI tools, frameworks, and technologies to improve solution delivery

Support production deployments and ongoing enhancements of AI-driven business applications

3+ years of software engineering experience with strong Python development skills

Hands-on experience building AI-powered applications using Lang Chain, Lang Graph, or similar agent frameworks

Experience developing applications utilizing LLMs and Generative AI technologies

Familiarity with Model Context Protocol (MCP) tools, integrations, or application development

Experience with AWS Bedrock, Azure AI Foundry, Azure OpenAI, or similar enterprise AI platforms

Experience deploying and managing containerized applications using Kubernetes or Open Shift

Strong understanding of software engineering best practices, APIs, microservices, and cloud-native development

Experience working within Agile software development teams

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field preferred

Experience building multi-agent AI systems (preferred)

Experience implementing RAG architectures and vector database solutions (preferred)

Familiarity with AI observability platforms such as Arize, Lang Smith, Langfuse, or Datadog (preferred)

Experience deploying or hosting open-source LLMs using vLLM or similar inference frameworks (preferred)

Knowledge of prompt engineering, agent orchestration, and AI application evaluation methodologies (preferred)

Experience building enterprise-scale AI applications in regulated industries (preferred)

Exposure to cloud-native architectures, Dev Ops practices, and CI/CD pipelines (preferred)

Opportunity to build and deploy cutting-edge AI solutions within a growing enterprise AI ecosystem

Exposure to high-visibility AI initiatives and emerging technologies

Long-term career growth with potential for permanent placement

Collaborative environment focused on AI innovation and business impact

401(k) Matching Plan

Medical, Dental, & Vision Plans

Relationship-driven support throughout your engagement

Paid Holidays

Regular meetings and ongoing consultant support