Principal AI Engineer

Role overview

A principal engineering role focused on guiding a distributed team that builds AI-integrated software for legal, risk, compliance, and HR workflows. The position blends technical leadership, system architecture, and hands-on work with agentic AI, RAG systems, and prompt engineering to modernize how software is delivered. It suits someone who enjoys mentoring globally distributed developers and shaping AI-assisted engineering practices at scale.

Responsibilities

- Lead architecture and design of scalable, modular systems grounded in domain-driven design and microservices principles - Architect agentic AI capabilities, including MCPs, APIs, and AI agents, while crafting prompt strategies that steer LLMs in code generation, documentation, and test writing - Translate product goals into engineering tasks optimized for both human and AI execution, and conduct rigorous code reviews across human- and AI-authored code for correctness, security, and performance - Mentor distributed developers, cultivating a culture of AI tool adoption, clean code practices, and modern software design - Partner with DevOps to embed AI-enhanced review and testing steps into CI/CD pipelines, streamlining delivery

Requirements

- 10+ years of software engineering experience with a track record in architectural and technical leadership - 2+ years of production experience with AI/ML models deployed in real environments - Strong backend or full-stack background with Python - Hands-on experience with AI-assisted development tools such as Claude Code, Devin, GitHub Copilot, or GPT-based APIs - System design expertise in RAG and agentic systems, with strong task-decomposition skills - Demonstrated leadership of distributed engineering teams and excellent written/verbal communication in English - Exposure to AI agent frameworks (for example LangChain, LangGraph, CrewAI, AutoGPT, AgentCore) - Familiarity with vector or graph databases, embeddings, and LLM infrastructure - Experience with domain-driven design, microservices, or MCP architectures

Nice to have

- A portfolio showcasing AI-driven software projects - Background in fast-paced SaaS or startup environments - Domain knowledge in HR, Legal, or Risk industries

Benefits and work setup

- Fully remote within the United States - Anticipated annual compensation range of $180K–$200K USD for US-based candidates, plus bonus eligibility - Health, dental, and vision insurance - 401(k) with employer match - Open PTO, 11 paid holidays, and 4 annual paid global wellness days - Short- and long-term disability plus group life insurance - Paid parental leave - Pet insurance, FSA, and HSA options - Employee Assistance Program and access to a learning platform - Career advancement, professional development, and employee recognition programs