Principal AI Engineer

Responsibilities

• Provide technical leadership and architectural oversight for scalable, modular AI-integrated software solutions.
• Architect and build MCPs, APIs, and AI agents, and develop prompt strategies for code, documentation, and test generation.
• Design RAG and agentic systems and translate product goals into actionable tasks optimized for human and AI execution.
• Review human- and AI-generated code for performance, security, and correctness.
• Mentor globally distributed developers on AI tool adoption, clean code, and modern software design.
• Collaborate on build and deployment pipeline improvements, including AI-enhanced review and testing steps.

Requirements

• 10+ years of software engineering experience focused on design and architectural technical leadership.
• 2+ years of experience working with AI/ML models in a production environment.
• Strong backend or full-stack background using Python.
• Experience with AI-assisted development tools such as Claude Code, Devin AI, GitHub Copilot, or GPT APIs.
• Strong system design and task decomposition skills focused on RAG and agentic systems.
• Proven experience leading distributed engineering teams.
• Excellent written and verbal English communication skills.
• Exposure to AI agent frameworks such as LangChain, LangGraph, CrewAI, AutoGPT, or AgentCore.
• Experience with domain-driven design, MCPs, or microservices architecture.
• Experience with vector or graph databases, embeddings, or other LLM infrastructure.
• A portfolio demonstrating AI-driven software development is preferred.
• Prior fast-paced SaaS or startup experience and knowledge of HR, Legal, or Risk industries are preferred.

Benefits

• 100% remote work anywhere in the US.
• Health, dental, and vision insurance.
• 401(k) with employer match.
• Open PTO, 11 paid holidays, and four annual paid global wellness days.
• Short-term disability, long-term disability, and group life insurance.
• Paid parental leave, pet insurance, FSA and HSA options, and an employee assistance program.
• Career advancement, professional development, employee recognition, and LinkedIn Learning opportunities.
• Annual bonus eligibility.