Google AI/Data Engineer

Client has an immediate need for a Mid-Level AI Engineer to join their growing AI and Automation practice. You will be a technical anchor in their AI and Automation practice. You'll apply foundational AI skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.

Responsibilities

• Generative AI & LLM Usage

Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered capabilities.

• Agentic AI System Development
• Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis, and ambient background agents.
• AI Software Engineer
• Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows.
• Collaborative Engineering
• Work alongside data engineers, software engineers, and data scientists to develop operational agent AI systems.
• Cloud Enablement
• Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.
• Production Monitoring & Optimization
• Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.
• Technical Rigor & Documentation
• Write clean, well-documented code following industry and federal guidelines; support reproducible development.
• Professional Growth
• Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews.

Qualifications

• Bachelor's or Master's in Computer Science, AI/ML, or a related field.
• 3-5 years of hands-on experience delivering AI/ML solutions.
• Experience in generative AI, working with LLMs, and adding tool calls (MCP)
• Experience with agentic frameworks such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore.
• Deep understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex
• Proficiency in Typescript familiarity with key libraries and frameworks (Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, Vite)
• Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).
• Experience deploying applications using cloud platforms (AWS) and container tools (Docker, Kubernetes).
• Familiarity with CI/CD pipelines (GitLab CI)
• Experience with VS Code and AI extensions such as Cline and Claude Code.
• Strong communication skills and client-oriented mindset.
• U.S. Citizenship with eligibility for DoD Secret clearance.