Principal AI Product Engineer

Mitratech

1d•$190,000 - $210,000•Remote

About The Position

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 architectural 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 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, CrewAI, AutoGPT, Agent Core).
Experience with domain-driven design (DDD) or microservices 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.
Design scalable, modular systems and communicate architectural decisions across services and domains.
Ensure all development aligns with modern architectural principles like domain-driven design and microservices.
Act as a subject matter expert in Agentic AI integration, including architecting and building robust MCPs/APIs and AI Agents to facilitate AI capabilities within 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 the entire codebase.
Actively mentor 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 build and deployment pipelines by integrating AI-enhanced review and testing steps to streamline the delivery process.