This role drives the development of next-generation AI and ML systems by owning the design of intelligent decisioning systems
Job Summary
This role drives the development of next-generation AI and ML systems by owning the design of intelligent decisioning systems.
Candidates will build production-grade ML models and embed them into agent workflows to define how agents learn from real-world outcomes.
The position focuses on shipping systems that directly influence agent performance, efficiency, revenue, and customer experience through automated feedback loops.
Matching Summary
This role drives the development of next-generation AI and ML systems by owning the design of intelligent decisioning systems.
Skills & Requirements
Must-have
6+ years AI/ML engineering experience
Production Python development skills
Data pipeline engineering (ETL/ELT)
AI agent system design and deployment
API development and backend services
ML lifecycle tooling expertise
Nice-to-have
Experience with reinforcement learning
Familiarity with LangSmith or Braintrust
Knowledge of enterprise SaaS domains
Background in CRM industry
Experience with iterative optimization systems
Key Requirements
6+ years experience in AI/ML engineering
Strong hands-on Python for production systems
Proven track record deploying production-grade ML models
Experience designing AI agents or agent-like systems
Experience with API development and backend services