AI Software Engineer

Second Front Systems; Oregon; Hybrid; USD 150,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Employer-paid medical, dental, and vis

401(k) with company match

Wellness benefits

Equity incentive plan

Home office stipend

Professional development stipend

Flexible paid time off

Parental leave

Remote work opportunities

Referral bonus

Job summary

Second Front Systems in the United States is seeking an ambitious AI Software Engineer to design, build, and ship production agentic AI systems across LangGraph, LangChain, and tool-calling. You will operate cloud infrastructure—EKS, Terraform, Helm—and contribute to governance and evaluation.

Join a mission-driven team collaborating with Product and Engineering to deploy AI workflows, measure output quality, and translate research into practical, scalable products while ensuring security and

Qualifications

• 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).
• 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.

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.

Skills

LangGraph

LangChain

Tool-calling

Multi-step orchestration

Tools

Terraform

Helm

Kubernetes (EKS)

GitOps

Job description

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.

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.
• 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.

What You Bring

• 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.

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.

Preferred

• 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.

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

Perks & 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.

Perks of Joining Our Team

• Competitive salary
• 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

One last thing

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

State notices

Colorado:

In accordance with Colorado law, applicants may redact their date of birth, dates of attendance, and dates of graduation from any uploaded documents.

Maryland:

Under Maryland law, an employer may not require or demand, as a condition of employment, prospective employment, or continued employment, that an individual submit to or take a polygraph examination or similar test. An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100.