Senior AI Product Engineer

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San Francisco / $175000 - $250000 annum

INFO

Salary

SALARY:

$175000 - $250000

Location

LOCATION

San Francisco

Job Type
JOB TYPE

Permanent

Senior AI Product Engineer

San Francisco Bay Area (Hybrid | 3 days onsite) Compensation: Up to $250,000 Base + Equity

Build AI Products That Reach Real Users

We're looking for an experienced AI Product Engineer to help build and scale the next generation of AI-powered products.

This is a hands-on role for someone who thrives at the intersection of software engineering, product thinking, and applied AI. You'll work across the full life cycle of intelligent systems, from initial concept and prototyping to production deployment, evaluation, and continuous improvement.

If you've successfully shipped AI-powered features that deliver measurable value to users and enjoy solving complex problems with both technical depth and customer empathy, we'd love to meet you.

What You'll Do

  • Design, build, and deploy production-grade AI applications and agentic systems
  • Partner closely with product, engineering, and leadership teams to identify high-impact opportunities for AI
  • Own features end-to-end, from architecture and implementation through monitoring and optimization
  • Develop robust evaluation frameworks to measure quality, reliability, and business impact
  • Continuously improve system performance through experimentation, testing, and iteration
  • Help establish best practices for building scalable, maintainable AI products
  • Contribute to a collaborative engineering culture focused on learning, innovation, and execution

What We're Looking For

Required Qualifications

  • Experience building and shipping customer-facing AI products into production
  • Strong software engineering foundation with experience in backend or full-stack development
  • Experience working with LLM-powered applications, agentic systems, or AI-driven workflows
  • Proficiency in Python and/or TypeScript
  • Experience evaluating, debugging, and improving AI system performance
  • Ability to make thoughtful technical decisions and communicate trade-offs clearly
  • Strong ownership mindset with a track record of delivering impactful products

Preferred Qualifications

  • Experience with Retrieval-Augmented Generation (RAG)
  • Familiarity with agent frameworks, orchestration platforms, or AI infrastructure tools such as LangChain, AWS Bedrock, LlamaIndex, or similar technologies
  • Experience operating AI systems at scale in production environments
  • Startup or high-growth company experience

What Success Looks Like

The strongest candidates have:

  • Built AI-powered products that moved beyond prototype and reached real users
  • Demonstrated ownership of both product outcomes and technical execution
  • Experience creating evaluation and feedback loops that improve model quality over time
  • A track record of balancing speed with thoughtful engineering decisions
  • The ability to clearly explain what they built, why they built it, and what they learned along the way

Leveling

We are hiring at multiple levels based on experience and impact:

  • Senior AI Product Engineer: Approximately 4-6 years of experience
  • Senior AI Product Engineer II: Approximately 6-8 years of experience

Why Join?

  • Work on cutting-edge AI products with meaningful user impact
  • High ownership and influence on technical direction
  • Competitive compensation package including equity
  • Opportunity to help define how AI is integrated into real-world applications
  • Collaborate with a team that values curiosity, execution, and continuous learning

CONTACT

Stephanie Landa

Principal Recruitment Consultant

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