Agentic AI Engineer — Remote & Flexible

Second Front Systems, Inc.; Washington (District of Columbia); Hybrid; 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 & One Medical

Equity incentive plan

Home office stipend

Annual professional development

Flexible PTO & federal holidays

Parental leave

Flexible remote work opportunities

Employee referral bonus

Job summary

Second Front Systems is seeking an ambitious full-stack AI Software Engineer to design, build, and deploy agentic AI systems integrated with LangGraph, LangChain, and tool-calling. You will own cloud infrastructure (EKS, Terraform, Helm) and ensure scalable, secure AI workflows across onboarding, deployment, monitoring, and remediation.

You will collaborate with Product and Engineering to evaluate models, select architectures, and govern AI responsibly, delivering reusable components and

Qualifications

• 2+ years of full-time software/ML/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.

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 Systems

LangGraph

LangChain

Tool-calling

Orchestration

Cloud deployment

Kubernetes

Terraform

Tools

Docker

AWS Bedrock

OpenSearch

EKS

Helm

Terraform

Job description

Second Front Systems is seeking an ambitious full-stack AI Software Engineer to design, build, and deploy agentic AI systems integrated with LangGraph, LangChain, and tool-calling. You will own cloud infrastructure (EKS, Terraform, Helm) and ensure scalable, secure AI workflows across onboarding, deployment, monitoring, and remediation.

You will collaborate with Product and Engineering to evaluate models, select architectures, and govern AI responsibly, delivering reusable components and