Job Overview We're hiring a Senior AI Engineer to design, build, and operate intelligent agent systems end-to-end on our AWS-native GenAI platform. You'll own major agent services from design through stable operations, design agent workflows and RAG architectures for team-level use, define the testing and reliability practices for your areas, and mentor across the team. Agents are the headline, but this is a full-stack platform role: you ship the FastAPI service, the Terraform, the MCP server, and the eval harness behind the agent - and you set the bar for how they're built.
Essential Duties & Responsibilities:
- Design and own LLM-powered agents end-to-end for internal tooling, customer-facing features, and workflow automation - built on Bedrock with LangChain/LangGraph and the langchain-aws/-anthropic/-core stack
- Design agent workflows and RAG architectures for team-level use; influence team design beyond your own services
- Build and operate MCP servers that expose company data and services as structured tools for AI models
- Define the testing, reliability, and operational practices for your areas; own delivery and on-call quality for major services
- Stand up evaluation pipelines (Langfuse + eval harnesses) and prompt-versioning practices, and use them to drive reliability and cost/quality improvements
- Lead design reviews, mentor across the team, and drive improvements in engineering practice
- Collaborate with product, data, and platform teams to scope and deliver agent-based solutions, applying platform patterns and governance hooks correctly
Requirements & Skills:- 5+ years of software engineering experience, with multiple years building and operating LLM or AI agent systems in production
- Expert-level Python and service development (async, FastAPI, Pydantic v2), with a track record of owning services end-to-end
- Deep GenAI/LLM application experience - designing RAG architectures and agent workflows, ideally with Claude via Amazon Bedrock or the Anthropic API
- Strong AWS engineering (Bedrock, Lambda, ECS, API Gateway, and the surrounding services)
- Hands-on agent tooling: LangChain/LangGraph and MCP (building and operating tool/resource servers)
- Terraform / IaC and containerized delivery through CI/CD
- Strong data-layer experience (Redis, Snowflake, DynamoDB, Postgres/Aurora) via async SQLAlchemy
- Identity and app-security fundamentals (JWT/OAuth, secrets management)
- Production observability and LLM evaluation experience (tracing, evals, latency/cost/quality metrics)
- Demonstrated ability to mentor engineers, lead design reviews, and set engineering practices
Nice to have:- Data warehouse engineering (Snowflake)
- NoSQL / document databases (MongoDB)
- Frontend / web UI development (React 19, TypeScript) - used in the platform but not expected for this role
- Responsible AI / governance experience
We will disclose intended pay ranges in our job ads for US-based opportunities - This role can be performed 100% remote anywhere in the US.
Anticipated Pay Range: $170K- $190K Annually USDTotal compensation includes US employee benefits and annual bonus eligibility.
Benefits we offer:- Health, Dental & Vision Insurance *
- 401 (k) + Employer Match *
- Open PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off
- STD, LTD & Group Life Insurance
- Paid Parental Leave
- Pet Insurance
- FSA & HSA Options
- Employee Assistance Program
Perks we offer:- Remote Work
- Career Advancement & Professional Development Opportunities
- Employee Recognition
- LinkedIn Learning Platform
