AI Software Engineer

🕒 Ontem

⛰️ Colorado, North Carolina, +3 estados a mais – Remoto

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

💵 $150.000 - $160.000 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

🧑‍💻 Engenheiro Full-stack

🚫👨‍🎓 Sem graduação necessária

👻 Score fantasma 12%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Second Front Systems

SiteLinkedInTodas as Vagas

51 - 200 funcionários

☁️ SaaS

🎖️ Defesa

🏛️ Governo

SaaS • Defense • Government

A Second Front Systems é uma empresa de benefícios públicos, apoiada por capital de risco, que fornece soluções de software críticas para missões, principalmente às democracias ao redor do mundo. Seu conjunto de produtos, que inclui o 2F Suite, 2F Workshop, 2F Game Warden e 2F Frontier, simplifica e acelera o processo de desenvolvimento e entrega de software. A empresa é confiável por provedores líderes de software e agências governamentais por suas soluções seguras de DevSecOps, permitindo a implantação segura de software em redes classificadas e não classificadas. Suas ofertas incluem ferramentas para desenvolvimento seguro, acreditação de software, hospedagem em nuvem governamental e implantação periférica, com foco particular no apoio aos setores governamentais e de defesa. A Second Front Systems colabora com parceiros para tornar as tecnologias emergentes mais acessíveis, acelerando os processos de acreditação e conformidade e oferecendo soluções que podem operar em ambientes remotos ou desconectados, como drones e veículos.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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