Full Stack Engineer
San Francisco, CA; Remote (United States)
Log10
Improve LLM accuracy by 50% or more with Log10's AutoFeedback. Scale human perspective by 1000x using fine-tuned models and synthetic data. Optimize generative AI applications with advanced features, custom models, and dedicated support.About Log10 Inc
Log10 is addressing the challenges around reliability and consistency of LLM-powered applications via a platform that provides AI-powered evaluations, fine-tuning and debugging tools. We are currently a team of 8 having previously worked in AI and infra roles at companies such as Intel, MosaicML, Adobe, Docker, PostEra, Starburst and Second Measure.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!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Data pipelines Docker Engineering GraphQL LLMs Machine Learning ML infrastructure MosaicML NLP Node.js Pipelines PostgreSQL Prompt engineering Python
Perks/benefits: Competitive pay Equity / stock options
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