Full Stack Engineer - MTV
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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.
Responsibilities
- 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
Requirements
- 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
- Competitive salary and equity based on experience
- [ Benefits: Health coverage, flexible work arrangements, and the opportunity to help define a new product category in AI infrastructure]
- Location: Mountain View, CA (Hybrid) or India (Hybrid)
- 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!
- Our Commitment
Benefits
Additional Information
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 .
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