AI Engineer II

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

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

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: $125K - $145K Annually USD Total 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

Mitratech is proud to be an EEOE, M/F/D/V, and we are committed to diversity both in practice and spirit at the corporate level. Mitratech participates in the Electronic Employment Verification Program. E-Verify is an Internet-based system that compares information from an employee's I-9 to data from the U.S. Department of Homeland Security and Social Security Administration Records. To learn more, visit: We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

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.