Government AI Engineer – Onsite, Edge & Secure Deployments

Sierra Ventures; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Stock options

Health insurance

Meals provided

Job summary

Reflection AI is seeking Forward Deployed Engineers to own technical execution for government engagements, spanning discovery, architecture, proofs of concept, and production delivery. You will work across the AI stack with on-site government teams in the U.S.

and support secured, classified, or edge environments. Ideal candidates have 5+ years delivering technical systems, hands-on GPU/inference experience, and a track record of customer-facing impact; TS/SCI clearance is preferred.

Qualifications

• Experience delivering software into classified or air-gapped government environments.
• Strong Python development and production-grade systems experience.
• Track record leading complex technical projects across teams.
• Hands-on infra and inference experience (GPU clusters, multi-node setups).
• Experience shipping LLM-based agents and their harnesses in production.
• 5+ years in technical roles, with 2+ years in leadership.
• Customer-facing work and ability to architect real business solutions.

Responsibilities

• Secure deployment design and operation in air-gapped/classified networks.
• On-site work with government customers, ensuring accreditation and compliance.
• Lead technical discovery across inference workloads and post-training.
• Own end-to-end proofs of concept, benchmarks, and evaluations.
• Architect and deliver complex AI systems and agentic applications.

Skills

Gov/air-gapped

Python

Project leadership

GPU clusters

Agent engineering

Customer facing

Security/compliance

Tools

Kubernetes

Slurm

vLLM

SGLang

Job description

Reflection AI is seeking Forward Deployed Engineers to own technical execution for government engagements, spanning discovery, architecture, proofs of concept, and production delivery. You will work across the AI stack with on-site government teams in the U.S.

and support secured, classified, or edge environments. Ideal candidates have 5+ years delivering technical systems, hands-on GPU/inference experience, and a track record of customer-facing impact; TS/SCI clearance is preferred.