Fullstack Developer – AI Applications at Turing

Fullstack Developer – AI Applications (GCP) | Contractor | Remote | 2-Month Engagement

Turing is seeking an experienced Fullstack Developer to build user-facing AI-powered applications, APIs, and integrations on top of LLM infrastructure. This is a high-impact contractor role working across frontend and backend systems, with a strong focus on Python, Node.js/TypeScript, modern frontend frameworks, and Google Cloud Platform (GCP).

About Turing

Turing is one of the world's fastest-growing AI companies, partnering with leading foundation model labs to advance frontier AI capabilities and deploy real-world AI systems for mission-critical enterprise use cases.

What You'll Do

• Build and ship end-to-end web applications spanning frontend, backend services, and APIs.
• Integrate LLM inference endpoints using REST/gRPC, streaming responses, SSE, or WebSockets.
• Develop scalable backend services using GCP (Cloud Run, Cloud Functions, Firestore/Cloud SQL, GCS).
• Build asynchronous workflows involving job queues, webhooks, and long-running inference tasks.
• Collaborate with infrastructure and DevOps teams on deployment, monitoring, and performance.
• Design and maintain integrations with relational and NoSQL databases and external services.

Requirements

• Strong experience with Python and Node.js/TypeScript.
• Hands-on frontend development with React, Next.js, or similar modern frameworks.
• Solid understanding of API design: REST, streaming/SSE, WebSockets, and/or gRPC.
• Experience integrating LLM APIs or model inference endpoints into production applications.
• Proficiency with Docker, Git, CI/CD pipelines, and relational/NoSQL databases.

Engagement Details

• Commitment: 8 hours/day with a 4-hour overlap with PST.
• Type: Contractor (no medical/paid leave benefits).
• Duration: 2 months, with an immediate expected start date.

Why Work With Turing

• Contribute to cutting-edge AI projects with leading foundation model companies.
• Work on high-impact LLM evaluation and reasoning challenges.
• Fully remote and flexible with global teams.