Member of Deployment Staff - Public Sector (AI)

Location: On-site in New York, NY or San Francisco, CA, United States. The role involves working on-site with government customers, including in SCIFs, and requires an active U.S. government clearance; TS/SCI is preferred.

Company

hirify.global is a research lab building open models that people can control, customize, and use to shape the future of AI.

What you will do

• Own technical execution for strategic customer engagements from discovery and solution architecture through proof of concept and production delivery.
• Design, deploy, and operate agentic systems and fully offline model-serving infrastructure in air-gapped, classified, and edge environments.
• Lead technical discovery with customer ML and engineering teams, translating mission requirements into secure AI solutions with measurable success criteria.
• Define and run benchmarks and proofs of concept on real customer workloads, comparing quality, latency, and cost against competing options.
• Architect and build agentic applications, evaluations, model-serving infrastructure, and post-training recipes while managing project plans and customer alignment.
• Turn field insights into platform and model improvements, reusable technical assets, deployment playbooks, reference architectures, and operating practices.

Requirements

• Experience delivering software into classified or air-gapped government environments, including security controls, accreditation processes, and offline deployment constraints.
• Strong Python and production-systems experience, with the ability to read, write, and reason about code, architecture, and system behavior.
• Experience leading complex technical projects, coordinating contributors across workstreams, making trade-offs, removing obstacles, and owning end-to-end 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 trade-offs.
• Experience shipping LLM-based agents to production within the last 1–2 years, including tool calling, MCP, context management, orchestration, guardrails, evaluations, and post-training decisions.
• 5+ years of relevant experience delivering technical systems, including 2+ years in a technical leadership role such as tech lead, engineering manager, or founding engineer.
• Demonstrated customer-facing ability, including understanding user needs, architecting solutions for business problems, delivering outcomes, and debugging deployments in customer environments.
• Self-starter with high agency and ownership who can work in a fast-paced startup environment where playbooks are still being written.

Culture & Benefits

• Full-time employment in a talent-dense startup environment focused on open foundational models.
• Salary and equity structured to recognize and retain talent globally, including stock options.
• Comprehensive medical, dental, vision, and life insurance with an annual wellness allowance.
• Lunch and dinner are provided in the office daily.
• 22 weeks of paid parental leave for birthing, non-birthing, adoptive, and surrogate parents.
• Unlimited paid time off in the U.S.; the company sponsors visas and supports applicable long-term immigration pathways.