Member of Deployment Staff - Public Sector
Reflection15 hours ago
San Francisco, CA, USA or New York, NY, USAStaff+
Responsibilities
- Design, deploy, and operate agentic systems in air-gapped and classified networks, including fully offline model serving.
- Work on-site with government customers, including in SCIFs, and translate mission requirements into secure AI solutions meeting accreditation and compliance standards.
- Lead technical discovery and solution architecture across inference workloads, agentic applications, and post-training.
- Own proofs of concept end to end, including evaluation criteria, workload benchmarking, and demonstrations of quality, latency, and cost.
- Architect and build agentic applications, model-serving infrastructure, evaluations, and post-training recipes.
- Manage customer engagements, project plans, workstreams, stakeholder alignment, and end-to-end delivery outcomes.
- Identify field patterns and model gaps, build prototypes, and contribute priorities to the platform and research organizations.
- Define deployment playbooks, reference architectures, reusable technical assets, and operating practices.
Requirements
- Experience delivering software into classified or air-gapped government environments, including knowledge of security controls, accreditation processes, and offline deployment constraints.
- Strong ability to read, write, and reason about code, architecture, and system behavior, with strong Python skills and experience shipping production-grade systems.
- Track record leading complex technical projects across multiple workstreams and owning end-to-end delivery outcomes.
- Hands-on experience deploying multi-node GPU clusters with Kubernetes or Slurm and serving large models in production with vLLM or SGLang.
- Experience benchmarking quantization, caching, batching, and speculative decoding tradeoffs.
- Experience shipping LLM-based agents to production within the last 1–2 years, including tool calling, MCP, context management, orchestration, guardrails, and evaluations.
- At least 5 years of relevant experience delivering technical systems, including at least 2 years in a technical leadership role.
- Demonstrated ability and interest in customer-facing technical work, including solution architecture, user-needs discovery, and deployment debugging.
- Active U.S. government clearance required; TS/SCI preferred.
- Self-starter with high ownership who can operate effectively in a fast-paced startup environment.
Benefits
- Salary and equity compensation, with stock options for employees.
- Comprehensive medical, dental, vision, and life insurance with an annual wellness allowance.
- Lunch and dinner provided in the office daily.
- 22 weeks of paid parental leave for birthing and non-birthing parents, including adoptive and surrogate journeys.
- Unlimited paid time off in the U.S. and 30 vacation days in the U.K.
- Visa sponsorship and support for long-term immigration pathways where applicable.
- Regular off-sites, happy hours, and team celebrations.
- The role may be subject to U.S. export-control access restrictions and government authorization.
Tech Stack
Categories
Forward Deployed
About Reflection
Reflection is a New York–based, privately held research lab developing open foundational AI models and agentic coding tools for developers, enterprises, and public-sector users. The team includes former researchers from DeepMind, OpenAI, and Anthropic, and their work focuses on transparent, customizable systems that organizations can deploy with ownership and control.