Second-Front-Systems - AI Software Engineer
Requirements
• 2+ years full-time software, ML, or AI engineering experience with hands-on production work building and shipping LLM-based systems. • Hands-on experience building agentic AI systems with tool-calling agents and multi-step orchestration using LangGraph, LangChain, or equivalent. • Production experience with Retrieval-Augmented Generation including vector stores, embedding models, chunking strategies, and retrieval quality optimization. • Experience deploying containerized AI services to cloud environments using Docker, Kubernetes (EKS preferred), and infrastructure as code (Terraform preferred). • Demonstrated ability to communicate AI concepts and recommendations to non-technical stakeholders and cross-functional teams. • U.S. citizenship and residence in approved hiring hub: DC/Maryland/Virginia, Raleigh/Durham/Chapel Hill NC, Denver/Colorado Springs CO, or Dallas/Fort Worth TX. • Experience building MCP servers or clients, or integrating agents with enterprise tools and knowledge bases. • Experience with AWS AI services such as Bedrock Knowledge Bases, AgentCore, and OpenSearch. • Experience operating LLM gateways or serving infrastructure (e.g., LiteLLM, vLLM, GPU-backed self-hosted models), including single- and multi-tenant designs. • Experience driving AI adoption across a product organization: not just building, but enabling others to use AI effectively. • Experience working in or with the Department of Defense, federal agencies, or regulated environments, and familiarity with compliance frameworks such as NIST 800-53, FedRAMP, or NATO D32. • The base salary for this position will fall between $150,000 and $160,000. Your ultimate compensation will be determined by professional background, technical proficiency, seniority, and regional cost factors. Furthermore, this opportunity includes potential eligibility for equity awards and discretionary bonuses, rounding out a comprehensive total rewards offering. • Success at 2F Looks Like: • A proactive and solutions oriented mindset • Viewing obstacles as opportunities for growth • Having a bias toward action and tangible, measurable results • Being team-oriented with a focus on personal responsibility and autonomy
Responsibilities
• Architect production agentic AI systems using LangGraph and LangChain with focus on reliability, traceability, and measurable output quality. • Build agent components including ingestion pipelines, embedding strategies, chunking, retrieval, and re-ranking, and tool suites across managed knowledge-base services, vector databases, and internal and external APIs. • Connect agents to corporate tools and knowledge through Model Context Protocol, constructing both MCP servers and consuming clients. • Establish and operate cloud infrastructure for R&D AI systems: Amazon EKS, Terraform, Helm, and GitOps delivery patterns. • Measure agent and LLM output quality through evaluation and regression suites covering groundedness, faithfulness, relevance, and retrieval quality, running in CI. • Partner with Product teams to scope high-leverage AI opportunities across workflows and advise on agent design, model selection and output quality standards.
Benefits
• This role is a full time position. As a public benefit corporation, we’re a team of purpose-driven trailblazers transforming the future of U.S. national security. We hire the best to do their best and, as such, we are committed to providing the perks and benefits you need to be successful—both in- and outside the workplace. • 100% employer-paid medical, dental, and vision coverage for you and your dependents • 401(k) with a 3% company contribution • Comprehensive wellness benefits, including a One Medical membership, mental health resources, family planning support, and more • Equity incentive plan • New hire technology and home office stipend • Annual professional development stipend • Flexible paid time off, plus all federal holidays • Generous parental leave • Flexible remote work opportunities • Employee referral bonus program • Visit our careers page to learn more.
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