AI Software Engineer

Job not on LinkedIn

🔥 1 minute ago

⛰️ Colorado, North Carolina, +3 more states – Remote

⛰️ Colorado – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $150k - $160k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Second Front Systems

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🎖️ Defense

🏛️ Government

SaaS • Defense • Government

Second Front Systems is a public-benefit, venture-backed company that provides mission-critical software solutions primarily to democracies around the world. Their product suite, which includes the 2F Suite, 2F Workshop, 2F Game Warden, and 2F Frontier, simplifies and accelerates the software development and delivery process. The company is trusted by leading software providers and government agencies for its secure DevSecOps solutions, enabling secure software deployment on classified and unclassified networks. Their offerings include tools for secure development, software accreditation, government cloud hosting, and edge deployment, particularly focused on supporting government and defense sectors. Second Front Systems collaborates with partners to make emerging technologies more accessible, accelerating the accreditation and compliance processes and offering solutions that can operate in remote or disconnected environments, such as drones and vehicles.

📋 Description

• Architect production agentic AI systems using LangGraph and LangChain, focusing on reliability, traceability, and measurable output quality • Build agent components including ingestion pipelines, embedding strategies, chunking, retrieval, and re-ranking • Build 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 MCP servers and consuming clients • Establish and operate cloud infrastructure for R&D AI systems using 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 • Advise on agent design, model selection, implementation, responsible AI governance, and output quality standards • Build documentation and reusable components that expand organizational AI capability • Translate research-grade AI systems into mission-ready products for national security and regulated networks

🎯 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 an approved hiring hub: DC/Maryland/Virginia; Raleigh/Durham/Chapel Hill, NC; Denver/Colorado Springs, CO; or Dallas/Fort Worth, TX • Preferred: experience building MCP servers or clients, or integrating agents with enterprise tools and knowledge bases • Preferred: experience with AWS AI services such as Bedrock Knowledge Bases, AgentCore, and OpenSearch • Preferred: experience operating LLM gateways or serving infrastructure such as LiteLLM, vLLM, and GPU-backed self-hosted models, including single- and multi-tenant designs • Preferred: experience driving AI adoption across a product organization • Preferred: experience working in or with the Department of Defense, federal agencies, or regulated environments • Preferred: familiarity with NIST 800-53, FedRAMP, or NATO D32 • Must be able to work in the United States; application asks whether the candidate currently obtains a security clearance

🏖️ Benefits

• Potential eligibility for equity awards • Discretionary bonuses • 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