AI Engineer (Generative AI)

Quick Facts

• Role: AI Engineer (Generative AI)

• Focus: Secure Generative AI, LLM integration, and mission-focused AI applications

• Work model: 100% onsite in California or Colorado (no remote)

• Clearance: Active TS/SCI (mandatory)

Description

Build and deploy Generative AI and machine learning applications for federal and DoD mission operations. You will develop Python/FastAPI backend services and integrate LLMs with RAG pipelines, semantic search, vector databases, and intelligent agents, while optimizing for accuracy, reliability, latency, and secure data access.

Key Responsibilities

• Design, develop, test, and deploy Generative AI and machine learning solutions for mission-critical Government operations

• Build AI-powered backend services and APIs using Python and FastAPI

• Implement LLM integrations, RAG pipelines, embeddings, semantic search, and vector database components

• Develop agent-based automation and AI workflows using LangChain/LangGraph/LlamaIndex or similar frameworks

• Integrate AI models with enterprise data sources and external systems via APIs

• Support enterprise AI platform integration, configuration, and customization (including Kamiwaza)

• Use open-source LLMs and model-serving tools such as Hugging Face, vLLM, and llama.cpp

• Integrate with OpenAI-compatible APIs and standards such as Model Context Protocol (MCP)

• Deploy and optimize AI workloads in Kubernetes-based secure government environments (on-prem/hybrid)

• Implement cybersecurity controls: authentication, authorization, logging, and secure data handling

• Troubleshoot production issues and support deployments

• Produce technical documentation, architecture diagrams, and operational guides

Requirements

• Active TS/SCI security clearance (mandatory)

• 100% onsite work in California or Colorado

• 5+ years of software engineering/AI engineering/ML experience

• 2+ years of hands-on experience with AI/ML or Generative AI application development

• Strong Python backend development skills

• Experience building and integrating REST APIs with FastAPI or Flask (or comparable)

• Hands-on LLM and Generative AI integration experience

• Knowledge of RAG, embeddings, semantic search, and vector database concepts

• Experience integrating AI with structured and unstructured enterprise data

• Familiarity with Docker and Kubernetes

• Working knowledge of Linux and Git

• Understanding of secure application development and enterprise data protection

• Ability to quickly learn new AI platforms and implement new technologies

• Bachelor’s degree in a related technical field (or equivalent experience)

Benefits

• Work on mission-focused, secure AI systems for federal and DoD environments

• Opportunity to integrate modern LLM, RAG, and agent frameworks with on-prem/hybrid secure deployments