Principal AI Engineer

Mitratech

9d•$180,000 - $200,000•Remote

About The Position

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! Role Overview We are looking for a Principal AI Engineer to guide a distributed team of developers in building modern, scalable, and AI-integrated software solutions. As a technical leader, you'll be responsible for architectural oversight, system design, and AI strategy. You will play a crucial role in mentoring our global distributed developers, helping them decompose complex features into clear, modular tasks and leveraging AI tools to improve the speed, quality, and innovation of our delivery. This is a highly impactful role, ideal for someone who thrives at the intersection of software engineering, AI-assisted development, and technical leadership.

Requirements

10+ years of software engineering experience, with a focus on design/architectural technical leadership.
2+ years of experience working with AI/ML models in a production environment.
A strong background in backend or full-stack technologies (Python).
Demonstrated experience leveraging AI-assisted development tools like Claude Code, Devin AI, GH Copilot or various GPT APIs.
Strong system design (focused on RAG/Agentic systems) and task decomposition skills.
Proven experience leading distributed engineering teams.
Excellent written and verbal communication skills in English.
Exposure to AI agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGPT, AgentCore).
Experience with domain-driven design (DDD) or MCPs/Micro-services architecture.
Experience with vector/graph databases, embeddings, or other LLM infrastructure.

Nice To Haves

A portfolio or examples of previous work demonstrating a passion for AI-driven software development.
Prior experience in a fast-paced SaaS or startup environment.
Knowledge of the HR, Legal, or Risk industries.

Responsibilities

Provide technical leadership for the team, guiding the design, development, and deployment of software solutions that leverage AI to solve complex business problems.
Responsible for designing scalable, modular systems and communicating architectural decisions across services and domains.
Ensure all development aligns with modern architectural principles like domain-driven design and micro-services.
Architect and build robust MCPs/APIs and AI Agents to facilitate AI capabilities within our existing platforms.
Develop and refine prompt strategies to guide AI agents in writing code, documentation, and tests, leveraging LLM tools to automate repetitive tasks and improve overall development efficiency.
Translate high-level product goals into actionable engineering tasks that are optimized for both human and AI execution.
Provide in-depth code reviews (for both human- and AI-generated code), ensuring performance, security, and correctness across our entire codebase.
Actively mentor our globally distributed developers, providing technical guidance and fostering a learning culture focused on AI tool adoption, clean code practices, and modern software design.
Collaborate on optimizing our build and deployment pipelines by integrating AI-enhanced review and testing steps to streamline our delivery process.