This role drives the development of next-generation AI and ML systems by owning the design of intelligent decisioning systems and expanding into building a broader agent flywheel
Job Summary
This role drives the development of next-generation AI and ML systems by owning the design of intelligent decisioning systems and expanding into building a broader agent flywheel.
Candidates will build production-grade ML models, embed them into agent workflows, and define how agents learn from real-world outcomes to directly influence business metrics.
The position requires strong hands-on experience in Python, data pipeline development, and designing hybrid systems that blend deterministic logic with LLM-driven generation.
Matching Summary
This role drives the development of next-generation AI and ML systems by owning the design of intelligent decisioning systems and expanding into building a broader agent flywheel.
Skills & Requirements
Must-have
6+ years AI/ML engineering experience
Production Python development skills
Data pipeline engineering expertise
AI agent system design capability
API development and backend services
Nice-to-have
Experience with reinforcement learning
Familiarity with enterprise SaaS domains
Knowledge of agent evaluation tools
Background in large-scale experimentation
Key Requirements
6+ years of experience in AI/ML engineering
Strong hands-on experience in Python
Proven track record deploying production-grade ML models
Experience designing AI agents or agent-like systems