Forward Deployed Engineer - Public Sector
Reflection is an AI research lab building open frontier models and a full AI stack for developers, enterprises, and public-sector users.
Funding history
About Reflection
Reflection develops open-weight AI models, open-source software for customizing and running agents, AI-factory infrastructure, and related solutions. Its current research emphasizes large language models, reinforcement learning, and agentic reasoning.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the end-to-end technical execution of strategic government customer engagements. You will design, deploy, and operate agentic AI systems in classified, air-gapped, and edge environments; define architectures and proofs of concept; benchmark models; and deliver production systems. You will translate mission requirements into compliant solutions, manage delivery plans and stakeholders, and turn field learnings into reusable platform capabilities, prototypes, and deployment playbooks.
Requirements
- Experience delivering software into classified or air-gapped government environments
- Knowledge of security controls, accreditation processes, and offline deployment constraints
- Strong Python and experience shipping production-grade systems
- Experience leading complex technical projects and end-to-end delivery
- Experience deploying multi-node GPU clusters with Kubernetes or Slurm
- Experience serving large models in production with vLLM or SGLang
- Experience benchmarking quantization, caching, batching, and speculative decoding
- Experience shipping LLM-based agents to production and designing agent harnesses and evaluations
- 5+ years of relevant experience delivering technical systems
- 2+ years in a technical leadership role
- Ability and interest in customer-facing technical work
- Active U.S. government clearance, with TS/SCI preferred
Responsibilities
- Design, deploy, and operate agentic systems in air-gapped and classified networks
- Work on-site with government customers, including in SCIFs
- Translate mission requirements into secure AI solutions that meet accreditation and compliance standards
- Lead technical discovery and solution architecture across inference, agentic applications, and post-training
- Own proofs of concept, including evaluation criteria, benchmarking, and demonstrations
- Architect and build agentic applications, model-serving infrastructure, evaluations, and post-training recipes
- Define project plans, manage workstreams, and align customer stakeholders
- Identify field patterns and model gaps, build prototypes, and generalize them into platform and research priorities
- Define deployment playbooks, reference architectures, reusable assets, and best practices
Benefits
- Equity and stock options
- Comprehensive medical, dental, vision, and life insurance
- Annual wellness allowance
- Daily office lunch and dinner
- 22 weeks of paid parental leave
- Unlimited paid time off in the U.S.
- 30 days of vacation in the U.K.
- Visa sponsorship and long-term immigration support
- Regular off-sites, happy hours, and team celebrations