Mitratech

Mitratech

Mitratech specializes in automating processes through innovative solutions and services in compliance, risk management, enterprise HR, and legal operations, empowering organizations to effectively manage risks and scale for future growth.

Professional Services
1K-5K
Founded 1987
$3M raised

Description

  • Design and own LLM-powered agents end-to-end for internal tooling, customer-facing features, and workflow automation.
  • Design agent workflows and RAG architectures for team-level use and influence broader team design.
  • Build and operate MCP servers that expose company data and services as structured tools for AI models.
  • Define testing, reliability, and operational practices for owned services, including on-call quality.
  • Stand up evaluation pipelines and prompt-versioning practices to improve reliability, cost, and quality.
  • Lead design reviews, mentor engineers, and drive improvements in engineering practices.
  • Collaborate with product, data, and platform teams to scope and deliver agent-based solutions.
  • Ship and own the full platform stack behind agents, including FastAPI services, Terraform, MCP servers, and eval harnesses.

Requirements

  • 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 experience, including async programming, FastAPI, and Pydantic v2.
  • Deep GenAI/LLM application experience designing RAG architectures and agent workflows, ideally with Claude via Amazon Bedrock or the Anthropic API.
  • Strong AWS engineering experience with Bedrock, Lambda, ECS, API Gateway, and related services.
  • Hands-on experience with LangChain, LangGraph, and MCP for building and operating tool/resource servers.
  • Experience with Terraform, infrastructure as code, and containerized delivery through CI/CD.
  • Strong data-layer experience with Redis, Snowflake, DynamoDB, Postgres/Aurora, and async SQLAlchemy.
  • Understanding of identity and application security fundamentals, including JWT/OAuth and secrets management.
  • Production observability and LLM evaluation experience, including tracing and latency/cost/quality metrics.
  • Demonstrated ability to mentor engineers, lead design reviews, and set engineering practices.
  • Data warehouse engineering experience with Snowflake (preferred).
  • Experience with MongoDB (preferred).
  • Frontend/web UI development experience with React 19 and TypeScript (nice to have, not required).
  • Experience with responsible AI or governance practices (preferred).

Benefits

  • Anticipated pay range of $170K–$190K annually USD.
  • Annual bonus eligibility.
  • 100% remote work anywhere in the US.
  • Health, dental, and vision insurance.
  • 401(k) with employer match.
  • Open PTO plus 11 paid holidays and 4 annual paid global wellness days off.
  • STD, LTD, and group life insurance.
  • Paid parental leave.
  • Pet insurance.
  • FSA and HSA options.
  • Employee Assistance Program.
  • Career advancement and professional development opportunities.
  • Employee recognition.
  • LinkedIn Learning platform.

Interested in this position?

Apply directly on the company website

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