About the Position
We’re looking for a Senior AI Engineer who builds real systems, not just demos.
This role is for someone who can design and deliver AI-native applications end-to-end, embedding LLMs, agents, and intelligent workflows into production environments.
You’ll work across software engineering, AI/ML, and system architecture, building solutions that operate at scale in mission-critical, regulated environments.
Qualifications
10+ years of full-stack engineering experience with 2+ years building AI-native or AI-first applications.
Required Skills
- Strong coding skills (Python, TypeScript/JavaScript, Java, etc.)
- Hands-on experience with:
- LLMs (prompting, RAG, agents)
- APIs and microservices
- Cloud platforms (AWS, Azure, or GCP)
- SQL/NoSQL + vector databases
- Experience building secure, scalable systems (enterprise or federal)
- Ability to translate business needs into technical solutions
Nice to Have
- Experience with LangChain, LlamaIndex, or similar frameworks
- Familiarity with vector DBs (Pinecone, Qdrant, Weaviate)
- Experience with Docker, Kubernetes, CI/CD, and IaC
- Knowledge of FedRAMP, NIST 800-53, FISMA
- Federal experience or active clearance
What Success Looks Like
- You deliver a production AI system used by real users
- You build scalable RAG or agent-based architectures
- You help establish reusable AI engineering patterns
- You contribute to internal AI platforms and innovation
Who You Are
- A builder who ships production systems, not just prototypes
- A systems thinker who connects AI to real outcomes
- Comfortable with ambiguity and shaping architecture
- A leader who can drive clarity across teams
Why Join Us
- Work on cutting-edge AI systems in real-world environments
- Influence the architecture of next-gen AI platforms
- Join a high-performing, mission-driven team
- Support impactful federal modernization efforts
