AI Product Engineer
Core
Architect and build the company's central intelligence engine, creating automated systems that retrieve insights and trigger workflows across the business.
Role type
Senior AI Product Engineer (Agentic Workflows & Integration)
Builds
Automated intelligence systems, middleware, API integrations, and production-grade applications connecting data stacks to business tools.
Domain
B2B SaaS, Enterprise AI, Data Analytics
Deliverable
production ML models | product features
Required skills
Python, API development (FastAPI/Django), LLM APIs, Agentic workflows, RAG architectures, SQL, Cloud data warehouses (Snowflake/BigQuery)
Preferred skills
B2B tool APIs (Salesforce, HubSpot, Zendesk, Jira, Marketo), Workflow automation (Airflow, Zapier/Make), B2B domain expertise (Sales, Product, Customer Success)
Technologies
Python, FastAPI, Django, LLM APIs, Snowflake, BigQuery, Airflow, Zapier, Make
Responsibilities
Develop a unified intelligence layer ingesting signals from disparate sources; Build robust integrations/webhooks to push AI-generated insights into workflow tools; Architect 'Agentic' workflows where LLMs perform tasks; Implement advanced RAG to ground AI outputs; Ensure rigorous evaluation and guardrails for non-deterministic models; Collaborate with Analytics Engineers on data pipelines for real-time AI applications.
Seniority
Senior, hands-on IC