Remote
AI Software Engineer
About this role
AI Software Engineer Second Front Systems is looking for an ambitious, mission-focused, full-stack AI Software Engineer to strengthen our growing Research and Development organization building AI-native platform capabilities. Operating at the intersection of AI systems engineering and national security infrastructure, you will be responsible for designing, building, and shipping production agentic AI systems while establishing the cloud infrastructure and governance they operate within.
You will move from prototype to production across agent design, implementation, LLM integration, and cloud deployment, ensuring measurable output quality and user authorization at every stage, ensuring that Game Warden and downstream products integrate AI as foundational capability rather than feature. Your solutions will include evaluative rigor and organizational fluency. We need someone capable of building and shipping agentic systems with LangGraph, LangChain, tool-calling, and multi-step orchestration; operating cloud infrastructure (EKS, Terraform, Helm) and LLM gateway patterns across AWS Bedrock, Anthropic, OpenAI, Cohere, self-hosted models and provider-agnostic architectures; and defining and measuring agent quality through evaluation suites, then translating results into model selection and architecture decisions.
As a key partner to our Product and Engineering teams, which are seeking to identify and deploy AI workflows across onboarding, deployment, monitoring, and remediation, you will advise on agent architecture and scope, model selection, implementation, and responsible AI governance. You will build documentation and reusable components that multiply organizational AI capability, serving as technical authority translating research-grade AI systems into mission-ready product.
Note: Candidates must reside in one of our approved hiring hubs: • DC/Maryland/Virginia • Raleigh/Durham/Chapel Hill, NC • Denver/Colorado Springs, CO • Dallas/Fort Worth, TX This is a full-time position. What You'll Do • 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.