We are looking for an experienced backend engineer to help architect and build out the next generation infrastructure for our AI optimization platform. As an early technical leader, you will own critical systems that enable real-time data pipelines, a GraphQL API, and integrations with large language models.
Responsibilities
Lead design and development of a GraphQL API to replace existing REST endpoints
Scale backend to handle growing data volumes from customer LLM applications
Optimize data flows and caching between S3, PostgreSQL, and Redis
Build workflows and infrastructure for prompt engineering and fine-tuning
Work cross-functionally to identify and improve pain points in our stack
Contribute to architecture decisions, guide technical roadmap
Requirements
5+ years experience designing and operating production systems
Deep expertise with GraphQL schemas, resolvers, Apollo/Relay
Experience with PostgreSQL, Redis and AWS services
Comfortable with Python, Node.js, and Go
Strong grasp of distributed computing fundamentals
Self-directed and enthusiastic about solving complex problems
Nice to have
Experience with NLP/ML data pipelines and workflows
Familiarity with prompt programming and large language models
Background in machine learning infrastructure
We provide a competitive salary, equity, and the chance to develop foundational systems that will redefine how companies build AI. This is a high-impact, high-autonomy role for someone eager to take on technical ownership and leadership. If this matches your background and ambitions, we'd love to hear from you!