Agentic AI Engineer - Remote Eligible

Frontdoor Defense; Washington (District of Columbia); Remote; USD 150,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

100% employer-paid medical, dental, &

401(k) with company contribution

Wellness benefits including OneMedical

Equity incentive plan

Home office stipend

Professional development stipend

Flexible PTO

Parental leave

Flexible remote work opportunities

Employee referral bonus program

Job summary

Second Front Systems in Washington, DC is seeking an ambitious AI Software Engineer to design, build, and ship production agentic AI systems for defense-focused workflows. This role blends AI systems engineering with cloud infrastructure, emphasizing LangGraph, LangChain, tool-calling, and multi-step orchestration across AWS Bedrock, OpenAI, and self-hosted models.

You will partner with product and engineering teams, establish evaluation suites, and ensure governance and safety while shipping

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).
• 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.

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

LLM-based systems

LangGraph

LangChain

Tool-calling

Multi-step orchestration

Docker

Kubernetes

Terraform

EKS

Cloud deployment

Tools

Docker

Kubernetes

Terraform

EKS

AWS Bedrock

Job description

Second Front Systems in Washington, DC is seeking an ambitious AI Software Engineer to design, build, and ship production agentic AI systems for defense-focused workflows. This role blends AI systems engineering with cloud infrastructure, emphasizing LangGraph, LangChain, tool-calling, and multi-step orchestration across AWS Bedrock, OpenAI, and self-hosted models.

You will partner with product and engineering teams, establish evaluation suites, and ensure governance and safety while shipping