Generative AI Engineer Midlevel

What you'll work on

• Build and deploy production‑ready AI applications (RAG, conversational AI, multi‑agent systems) across short program engagements.
• Implement GenAI solutions using vector databases, LLM orchestration frameworks, and managed AI services with strong observability and security practices.
• Integrate LLM APIs and services into existing workflows; apply responsible AI guardrails; troubleshoot cloud and on‑prem integration issues.
• Deliver workshops, documentation, and paired development to ensure teams can independently operate and extend AI systems.
• Improve AI application templates and document emerging techniques based on field experience.
• Validate program team readiness for independent AI operations.
• Stay current with new GenAI tools and patterns and share insights with the team.
  

What we're looking for

Required:

• 5+ years software engineering experience with strong Python and JavaScript; ability to build and maintain production systems using modern development workflows and Git.

• Bachelor’s degree in Computer Science or a related major.

• Ability to obtain a U.S. Secret Clearance.
• Practical experience developing LLM applications, including agentic patterns, RAG, context engineering, vector databases, and observability fundamentals; familiarity with evaluation‑driven development and model routing.
• Experience monitoring LLM performance, mitigating failure modes, and applying responsible AI practices (bias checks, guardrails, validation).
• Strong API integration skills with REST and distributed systems.
• Working experience with a major cloud provider (AWS/Azure/GCP), plus familiarity with Docker, CI/CD, IaC concepts, and core security practices.
• Understanding of ML fundamentals relevant to LLM systems.
• Ability to deliver quickly in unfamiliar environments and adapt to changing requirements.
• Strong communication skills and experience creating clear technical documentation and explanations.
• Pragmatic delivery mindset with sound architectural trade‑off judgment.
• Active user of AI tooling and continuous learner in GenAI.
• Experience with agile workflows (GitLab, Jira).

Desired:

• Experience building agentic systems with frameworks such as Agno, LangGraph, CrewAI, or OpenAI Agents; familiarity with LLM observability platforms and vector database technologies.
• Cloud/infra depth (AWS Bedrock, GovCloud, Azure OpenAI, Kubernetes, Terraform, CI/CD automation).
• Full‑stack development experience with modern frontend/back‑end frameworks.
• Consulting or multi‑project experience supporting varied technical contexts.
• Federal environment familiarity (DoD, NIST, ATO, FedRAMP).
• Open‑source/community contributions, writing, or speaking.
• Relevant technical certifications (Security+, AWS certs, etc.).