Job Overview
What You’ll Build
Production GenAI components that power our agent – each processes and analyzes enterprise semantics using multiple LLM providers.
Robust context engineering platform for managing and optimizing GenAI workflows at scale
High-performance reliable backend architecture.
Requirements
Strong problem-solving mindset with ability to tackle complex technical challenges.
Autonomous player who can take ownership and drive solutions independently.
Overall 8+ years in software engineering with startup experience.
5+ years backend engineering experience with expert Python skills.
1+ years production generative AI experience with LLMs and prompt engineering. A must.
Experience with scalable backend systems, micro-services, and distributed systems.
AWS experience: EKS, S3, Bedrock, Elasticache, RDS.
Production system experience: monitoring, alerting, security.
Super important – Get shit done attitude, curiosity, and pro-active mindset.
Tech Stack:
Python 3.11+, FastAPI, MongoDB, PostgreSQL, Redis, LiteLLM, AWS, Docker, K8S, Helm
Dev Stack:
Cursor, Claude Code, Warp