AI Engineer II - Mitratech

At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Job Overview

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.

Essential Duties & Responsibilities :

- 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

Requirements & Skills:

- 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)