Principal AI Product Engineer

Mitratech

1d•$140,000 - $190,000•Remote

About The Position

Mitratech is a global technology partner for corporate legal, immigration, human resource, and compliance teams. We are seeking a Principal AI Product Engineer to join our AI-Enhanced Product Engineering team. This role involves guiding a distributed team of developers to build scalable, AI-integrated software solutions. The ideal candidate will be a technical leader overseeing architecture, system design, and AI strategy, while also mentoring nearshore developers. This position requires candidates residing in the U.S. and offers a remote work opportunity with an anticipated pay range of $140,000 - $190,000 USD annually. The role is focused on leveraging AI tools to accelerate delivery, improve quality, and drive innovation across Mitratech's products, making a tangible impact on the future of software delivery.

Requirements

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.

Nice To Haves

Portfolio demonstrating AI-driven software development projects.
Experience in fast-paced SaaS or startup environments.
Knowledge of HR, Legal, or Risk technology domains.

Responsibilities

Lead the design, development, and deployment of AI-enhanced software solutions.
Ensure all development aligns with modern architectural principles, including microservices and domain-driven design.
Communicate architectural decisions clearly across services and domains.
Architect and implement robust APIs and microservices to integrate AI capabilities into our platforms.
Develop and refine prompt strategies to guide AI agents in coding, testing, and documentation.
Leverage AI tools like Copilot, Devin AI, and GPT APIs to improve efficiency and quality.
Translate high-level product goals into actionable tasks optimized for both human and AI execution.
Conduct detailed code reviews for both human- and AI-generated code, ensuring performance, security, and correctness.
Mentor nearshore developers, fostering a culture of learning and AI tool adoption.
Promote clean code practices and modern software design.
Collaborate on optimizing build and deployment pipelines by integrating AI-enhanced review and testing steps to streamline delivery.