Architect and scale the core intelligence behind the platform
Design, build, and optimize the pipelines and agent systems that drive live customer interactions
Partner with engineering leadership to take ideas from whiteboard to production quickly
Design and optimize production-grade RAG systems
Build ranking, scoring, and routing models for live inference
Deploy and monitor reinforcement learning systems
Build and maintain ML APIs and microservices using Docker and Kubernetes

Requirements

7+ years of experience in ML, AI, or data engineering roles
Expert-level Python for backend, ML workflows, and orchestration
Experience with modern LLM frameworks such as LangChain or LangGraph
Deep knowledge of vector databases and retrieval systems
Production experience with reinforcement learning
Comfort with distributed systems, Docker, and Kubernetes
Experience building and maintaining streaming or real-time pipelines
A track record of shipping complex systems that work in production

Benefits

51 - 200 👥 HR Tech 🤝 B2B ☁️ SaaS

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonmachine learningartificial intelligencedata engineeringreinforcement learningLLM frameworksvector databasesreal-time pipelinesmicroservicesproduction systems