Location: Onsite | Rosslyn, VA; New York City; Seattle, WA
Work Authorization: U.S. Citizen
Clearance: Must be eligible to obtain a Secret or Top Secret/SCI security clearance
Employment Type: Full-time, salaried, with full benefits
The Company & Mission:
Our client is revolutionizing military logistics and sustainment through the deployment of AI-enabled solutions. Combining elite Silicon Valley software expertise with deep operational experience working in and with the Department of Defense, our client builds cutting-edge software to solve the most critical logistics challenges faced by the U.S. military and its allies.
Their flagship product is an advanced software platform that gives commanders a single, real-time operating picture of their sustainment operations — from inventory and distribution to medical and operational planning — even in degraded and contested environments. They stay close to their users by embedding directly with military units during exercises and rotations, shipping constantly based on what they learn in the field.
What This Role is All About:
Our client is seeking a Backend Software Engineer to join a high-impact team working at the intersection of advanced logistics algorithms, modern AI-enabled software, and complex systems integration — all in support of the warfighter at the tactical edge. This role sits within their AI agentic product layer, and you'll own the design and implementation of production GenAI systems that bring intelligent, autonomous capability to the sustainment domain. This is a backend engineering role first — they're looking for someone who has built real AI systems from the ground up, worked closely with engineers and operational experts, and cares about shipping software that actually works in the field.
What You'll Be Doing:
Design, build, and deploy production-grade GenAI systems — including RAG architectures, vector databases, LLM integrations, and tool-call frameworks — in support of their AI agentic product layer
Build and maintain evaluation and testing harnesses to validate LLM output quality and catch regressions in production
Collaborate with the broader platform and product teams to integrate AI capabilities into core platform workflows
Participate in technical design discussions and code reviews, contributing to a culture of engineering rigor and mission focus
Triage and debug issues in production, ensuring reliability and rapid iteration in support of operational needs
Work closely with engineers, product managers, and military stakeholders to ensure AI systems meet real-world sustainment requirements
What You Bring:
4+ years of experience in software engineering, with a strong backend foundation — distributed systems, APIs, production-grade software
Hands-on experience building GenAI systems: vector databases, LLM integration, RAG architectures, and evaluation harnesses for LLM output
Familiarity with tool routing, tool-call validation, and common LLM failure modes
Understanding of the science underlying the systems you build — not just how to wire them together, but why they work and where they break
Background at an AI-native company, or a clear transition from backend engineering into AI specialization
Strong sense of ownership and a bias for action
Bonus Points:
Experience with fine-tuning or model evaluation workflows
Familiarity with AI infrastructure: embedding pipelines and inference optimization
Experience working on software in defense, aerospace, or other complex operational domains
Experience deploying software to production environments, including cloud (AWS, Kubernetes) and edge infrastructure
Benefits:
Comprehensive medical, dental, and vision plans; premiums 100% covered for all employees; exceptionally low premiums for spouses and dependents
Basic life insurance and disability 100% covered for all employees; option to purchase additional life insurance
"Take the time off that you need, when you need it" paid time off policy — not accrual based
Generous company holiday calendar including a December shutdown
Supportive leave of absence program including military service, medical events, and parental leave
Full 401(k) retirement plan for all full-time eligible employees
Company-funded commuter benefits
Highly competitive equity grants included in the majority of full-time offers as part of total compensation
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