Generative AI Engineer
Job in
Tysons, Fairfax County, Virginia, USA
Listed on 2026-07-08
Listing for:
iShift.io
Full Time
position Listed on 2026-07-08
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software
Job Description & How to Apply Below
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.
What You’ll Do- Build AI-native applications embedded in enterprise workflows
- Design end-to-end systems (frontend, backend, data, AI layers)
- Develop and deploy:
- Agent-based architectures
- LLM-powered services
- Create scalable APIs, microservices, and distributed systems
- Deliver secure, compliant AI solutions for federal environments
- Optimize performance, cost, and reliability in production
- Help define internal AI frameworks and accelerators
- Mentor engineers and lead technical design decisions
- 10+ years of full-stack engineering experience
- 2+ years building AI-native or AI-first applications
- Hands-on experience with:
- APIs and microservices
- Cloud platforms (AWS, Azure, or GCP)
- Experience building secure, scalable systems (enterprise or federal)
- Ability to translate business needs into technical solutions
- Experience with Lang Chain, Llama Index, 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
- You deliver a production AI system used by real users
- You build scalable RAG or agent-based architectures
- You contribute to internal AI platforms and innovation
- 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
- Work on cutting-edge AI systems in real-world environments
- Influence the architecture of next-gen AI platforms
If you’re building serious AI systems and want to work on problems that matter, we’d love to talk.
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