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# AI Engineer II

- **Company:** Mitratech
- **Location:** Denver, CO, United States (Remote available)
- **Experience:** Expert
- **Salary:** $125,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Continuous Integration, Data Warehousing, Amazon DynamoDB, Github, Python (Programming Language), Key Management, PostgreSQL, MongoDB, NoSQL, OAuth, Operational Databases, Redis, Webui, Software Engineering, SQLAlchemy, TypeScript, ReactJS, Large Language Models, Snowflake, Fastapi, Pytest, Front End Software Development, Api Gateway, Docker
- **Published:** August 1, 2026
- **Apply:** https://job-boards.greenhouse.io/mitratech/jobs/8056311

## About the Role

3-5 years of software engineering experience, including some hands-on work with LLM or AI-enabled features

 - Working Python (async patterns), FastAPI, Pydantic v2, and pytest
 - Comfortable building and deploying services on AWS (Bedrock, Lambda, ECS, API Gateway, and related services)
 - Production experience consuming LLMs (Claude via Amazon Bedrock or the Anthropic API) and building basic RAG/agent features
 - Working experience with a production data layer (Redis, DynamoDB, Postgres/Aurora) via async SQLAlchemy
 - Identity and app-security fundamentals (JWT/OAuth, secrets management)
 - Containerized delivery (Docker/ECS) through CI/CD (GitHub Actions)
 - Comfort in an ambiguous, fast-moving environment with evolving requirements

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

## Description

We're hiring an AI Engineer II to help build and operate intelligent agent systems on our AWS-native GenAI platform. You'll implement AI-enabled features and agent workflows, own small services end-to-end within the team, and deepen your skills in the agent tooling (MCP, LangChain/LangGraph) and platform practices that power them. You'll work independently on well-scoped problems and partner with senior engineers on complex design., Implement AI-enabled features and simple RAG/agent workflows, with senior guidance on complex design

 - Design, build, test, and deploy small services within the team, and maintain their CI/CD pipelines
 - Participate in on-call for the components you own; diagnose and fix issues
 - Contribute to design reviews and propose team process improvements
 - Mentor AI Engineer I teammates
 - Collaborate with product, data, and platform teams to deliver scoped solutions


## Related Videos

- [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis)
- [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect)
- [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws)
- [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level)
- [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge)
- [Delay the AI Overlords: How OAuth and OpenFGA Can Keep Your AI Agents from Going Rogue](https://www.wearedevelopers.com/videos/1637-delay-the-ai-overlords-how-oauth-and-openfga-can-keep-your-ai-agents-from-going-rogue)

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