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Principal AI Product Engineer
Skills
DevopsSoftware As A ServiceAdoptionBusinessDatabasesEnglishHuman Resources
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 10+ years of software engineering experience with architectural leadership
- 2+ years working with AI/ML models in production
- Strong backend or full-stack experience with Python
- Experience using AI-assisted development tools such as Claude Code Devin AI GH Copilot or GPT APIs
- Strong system design skills with focus on RAG systems
- Proven experience leading distributed engineering teams
- Excellent written and verbal English communication skills
- Exposure to AI agent frameworks such as LangChain CrewAI AutoGPT or Agent Core
- Experience with domain-driven design or microservices architecture
- Experience with vector or graph databases embeddings or LLM infrastructure
Nice to have
- Fast-paced SaaS background
- Startup experience
- HR Legal or Risk industry knowledge
- Portfolio of AI-driven work
Day to day
- Lead architectural design and technical strategy for AI-integrated software solutions.
- Guide a distributed engineering team in decomposing complex product goals into clear modular tasks.
- Build and refine agentic AI capabilities including MCPs APIs prompts and AI agents to improve delivery speed and quality.
- Review human and AI-generated code for performance security correctness and maintainable design.
- Mentor global developers and strengthen adoption of modern AI-assisted engineering practices.
