Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience
5+ years of experience as an ML Engineer, Data Scientist, or similar role
Strong Python programming skills and hands-on experience with NLP and LLM models
Proven track record of deploying and maintaining ML services in production environments
Solid understanding of network protocols, API design, and developer tooling
Experience with relational and non-relational databases
LLMops/MLops experience is a strong plus, especially in developer-facing products
Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable
Collaborative team player with a passion for empowering developers and improving developer experience
Adaptable, proactive, and creative—comfortable working in a dynamic, startup-like environment
Strong problem-solving skills and a continuous improvement mindset
What the job involves
We are seeking an exceptional Senior Software Engineer to join our San Francisco team and build new developer products. In this role, you will design, build, and optimize AI-first experiences that empower developers to experiment, prototype, and integrate with our platform
You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services
This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience
Design, build, and enhance AI services and APIs powering our developer sandbox, leveraging LLMs and custom ML models
Develop well-architected, testable, and efficient Python code to support rapid prototyping and experimentation
Implement and improve validation, monitoring, and observability for ML services within the sandbox environment
Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement
Collaborate with cross-functional teams to design developer-centric solutions and intuitive user experiences
Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability
Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment
Conduct code reviews and mentor team members to uphold high engineering standards