About Bespoke Labs
Bespoke Labs AI builds large-scale AI environments and production systems that directly shape how next-generation models are trained. Our work has powered foundational datasets like OpenThoughts and models such as Bespoke-MiniCheck and Bespoke-MiniChart.
About the Role
As a Full Stack Developer, you will own end-to-end platforms powering core Bespoke Labs products. This is a high-agency role with direct impact on production systems used in AI training and execution.
You will work across frontend, backend, and infrastructure, collaborating closely with engineers and AI researchers to ship fast, well-designed, and reliable systems.
What You Will Do
Build and own full-stack platforms from APIs to user interfaces
Develop backend services using Python and scalable async architectures
Build modern frontends using TypeScript and NextJS
Design and operate data layers using PostgreSQL and ElasticSearch
Integrate and work with LLM APIs, agent frameworks, or agentic workflows
Deploy and operate systems on AWS/GCP
Make architecture and design decisions with speed and ownership
What We Are Looking For
4–8 years of experience building production full-stack systems
Strong experience with Python, TypeScript, NextJS
Hands-on experience with PostgreSQL and ElasticSearch
Experience working with LLM APIs and/or agent-based systems
Proven ability to own systems end to end in fast-moving startup environments
Strong engineering fundamentals and a good design sense
Track record of high-pace execution at strong product or startup teams
CS background from a top-tier institution or equivalent experience preferred
Why Bespoke Labs
Extremely competitive Compensation
Hybrid, in-person role in Bangalore
High ownership, minimal process, real impact
Work alongside engineers and researchers building AI-native systems
Build the Core Platforms behind Agentic AI
If you enjoy ownership, speed, and building systems that matter, we’d love to hear from you!
Top Skills
What We Do
Bespoke Labs is a venture funded startup creating AI tools for data curation and post-training LLMs. (We are hiring!)
