Principal AI Product Engineer

Mitratech is a proven global technology partner for corporate legal, immigration, human resource, and compliance teams. Our approach to work is proactive, collaborative, and committed. The professionals who are thriving at Mitratech are people like you who know how to balance individual excellence with teamwork. We believe our employees’ enthusiasm fuels great work, so we pursue individuals with a passion for building an environment of ownership, transparency, continuous improvement as well as a dedication to driving the best possible experience for our customers. In other words, if you like people and technology, you'll fit right in.

Our team is changing the face of legal, immigration, compliance, and operational risk. Today, our products run over 20,000+ corporations of all sizes across the globe, representing a large portion of the Fortune 10, almost 40 percent of the Fortune 500, and over 50,000 users in over 150 countries. These teams depend on our technology and our people to help them grow and protect their organizations. Our approach to work is proactive, collaborative, and committed.

This is an excellent opportunity to join our growing company by supporting our most valued asset – our customers. In this role, you will gain an in-depth understanding of our customer’s operations, goals, and challenges so that you can help them gain the most value from their investments with Mitratech. 

Due to business and compliance requirements, this position is open only to candidates residing in the U.S. Applications from candidates outside this region will not be considered.

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• 10+ years of software engineering experience, with a focus on architectural leadership.

• 2+ years of production experience with AI/ML models.

• Strong backend or full-stack development experience (Python, Java, Go or Node.js).

• Experience with AI-assisted development tools (Copilot, Devin AI, GPT APIs).

• Strong system design and task decomposition skills.

• Proven experience leading distributed or nearshore engineering teams.

• Excellent written and verbal communication skills in English.

• Familiarity with AI agent frameworks (LangChain, CrewAI, AutoGPT).

• Experience with domain-driven design (DDD) or microservices architecture.

• Experience with vector databases, embeddings, or other LLM infrastructure.

• Portfolio demonstrating AI-driven software development projects.

• Experience in fast-paced SaaS or startup environments.

• Knowledge of HR, Legal, or Risk technology domains.