Note: The job is a remote job and is open to candidates in USA. Mitratech builds products that simplify operations across Legal, Risk, Compliance, and HR functions for organizations worldwide. The Senior AI Engineer will design, build, and operate AWS-native intelligent agent systems, including agent services, workflows, RAG architectures, MCP servers, and evaluation pipelines. The role also owns service reliability, leads design reviews, mentors engineers, and collaborates across product, data, and platform teams.
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
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
- This role can be performed 100% remote anywhere in the US
- - 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
Benefits
- 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
- Remote Work
- Career Advancement & Professional Development Opportunities
- Employee Recognition
- LinkedIn Learning Platform
- Annual bonus eligibility
Company Overview
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