Product AI Engineer — End-to-End KPI Ownership (SF)

AIDA projektai, MB; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

AIDA projektai, MB in San Francisco is seeking a Product Engineer with 4+ years of experience to build and own AI-powered products that directly impact business KPIs. This is a fast-paced, product-driven role requiring rapid prototyping and shipping across the full stack.

You will work with sales, service, underwriting, and operations to translate business problems into scalable technical solutions, including RAG, AI agents, MCP, and workflow automation. On-site five days/week.

Qualifications

• 4+ years of software/product engineering experience.
• Strong hands-on engineering skills in Python and/or TypeScript.
• Experience building production AI/LLM applications (RAG, AI agents, MCP, automation).
• Strong product mindset with ownership of business outcomes/KPIs.
• Experience working with non-technical stakeholders.
• Ability to ship across the full stack in a high-speed startup.

Responsibilities

• Own one or multiple business KPIs end-to-end and drive improvements through technology.
• Work with non-technical stakeholders across sales, service, underwriting, and operations.
• Translate business problems into scalable product and engineering solutions.
• Design and build AI-powered and agentic systems (RAG, MCP, AI agents, automation).
• Build across the full stack and ship prototypes to production quickly.
• Prototype, ship, measure, and iterate rapidly.
• Support production systems and participate in on-call responsibilities.

Skills

Python

TypeScript

Product mindset

Stakeholder management

Full stack

AI/LLM development

Tools

Cursor

Claude Code

AWS

GCP

Job description

AIDA projektai, MB in San Francisco is seeking a Product Engineer with 4+ years of experience to build and own AI-powered products that directly impact business KPIs. This is a fast-paced, product-driven role requiring rapid prototyping and shipping across the full stack.

You will work with sales, service, underwriting, and operations to translate business problems into scalable technical solutions, including RAG, AI agents, MCP, and workflow automation. On-site five days/week.