---
title: 'Full Stack Engineer - BLR, India at Bespoke Labs'
canonical: 'https://feeny.ai/job/full-stack-engineer-blr-india-bespoke-labs-bengaluru-pazpmr8p8dp8'
type: 'job'
last_seen: '2026-09-10'
---

# Full Stack Engineer - BLR, India at Bespoke Labs

- **Company:** Bespoke Labs
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-05-25
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/bespokelabs/2866278e-fd51-4626-ba7d-bf1a688f93a2

## Job description

## 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, India
- 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 We are proud to be an equal opportunity employer. We believe that diverse perspectives drive innovation, and we are committed to fostering an inclusive, respectful, and supportive workplace for everyone. Reasonable accommodations are available throughout the hiring process upon request. All applicant data is handled with the utmost care, in full compliance with applicable privacy laws and our internal data policies.

## About Bespoke Labs

## Company Overview
- **One-liner**: Bespoke Labs is an applied AI research lab building company-scale RL environments and data curation infrastructure to train reliable, production-grade AI agents.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Mountain View, California, United States (with an office in Santa Clara, CA)
- **Founded**: 2024
- **Founders**: Mahesh Sathiamoorthy (CEO, formerly Google DeepMind) and Alex Dimakis (CSO, Professor at UC Berkeley)

## Core Business
- **Primary industry**: Applied AI Research / Software Development (Agent Infrastructure)
- **Target customers**: B2B — Frontier AI labs (e.g., Anthropic, OpenAI, Google DeepMind) and enterprises needing to train, evaluate, and optimize complex, long-horizon AI agents for production.
- **Mission**: To build the environment infrastructure for the agent revolution, making AI agents dependable in production by creating entire digital worlds for training.

## Products & Services
- **Company-Scale RL Environments**: Infrastructure that simulates real codebases and microservices, allowing agents to master complex, long-horizon workflows required for production.
- **Agent Evaluation & Optimization (GEPA)**: An evolutionary algorithm (GEPA optimizer) that automates prompt and policy searches, achieving superior accuracy faster than manual prompt engineering. Over 200 teams use GEPA in production.
- **Production-Grade RL & Benchmarking**: Collaborative research in RL, data curation, and benchmarking to ensure training environments keep pace with the advancing frontier of model capabilities.
- **OpenThoughts Dataset**: One of the best open reasoning datasets (10k+ monthly downloads on Hugging Face), cited in ICLR 2026.
- **Terminal-Bench**: The first environment-based benchmark for agentic systems, cited by Anthropic, OpenAI, and Google DeepMind, published at ICLR 2026.
- **Bespoke-MiniCheck & Bespoke-MiniChart**: SOTA models developed in-house for fact-checking and chart understanding.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Total Funding**: $8.25M (Seed Round, June 2024).
- **Notable Investors/Partners**: Lead investor is **8VC**. Advisors include Tasso Argyros (VP of Eng at Databricks, ex-CEO of ActionIQ), Joseph Gonzalez (Associate Professor at UC Berkeley, creator of LMSYS/vLLM), and Greg Durrett (Associate Professor at NYU). Cited by Anthropic, OpenAI, and Google DeepMind.
- **Growth Signals**: Headcount grew **+238.5% year-over-year** (from ~8 to 28 employees). Monthly headcount growth is **+33.3%**. Active job postings increased **+183.3% quarterly** (34 open positions). Over 200 teams use GEPA in production. OpenThoughts sees 10k+ monthly downloads.

## Competitive Advantages
- **First-Mover in Agent Environments**: They identified the bottleneck for agent reliability is the environment, not the model, and are building the foundational infrastructure for this new paradigm.
- **SOTA Research Output**: Published work at ICLR 2026 (Terminal-Bench, GEPA, OpenThoughts) that is being cited and used by frontier labs (Anthropic, OpenAI, Google DeepMind).
- **Strong Academic & Industry Ties**: Founded by a Google DeepMind alum and a UC Berkeley professor, with advisors from Databricks, UC Berkeley, and NYU. Team includes alumni from Google, Scale AI, Microsoft, and AI2.
- **Open Source Influence**: OpenThoughts is a widely used open reasoning dataset, building community credibility and attracting top talent.

## Strategic Focus
- **Scale the Environment Infrastructure**: Build increasingly complex and realistic digital worlds for training agents, moving beyond demos to production-grade reliability.
- **Expand Enterprise Adoption**: Help enterprises evaluate and optimize agents in environments that mirror their specific systems and processes.
- **Continue Frontier Research**: Push the boundaries of RL, data curation, and benchmarking to maintain a lead in the agent training space.
- **Talent Acquisition**: Aggressively hiring researchers and engineers (34 open roles) to scale the team and the product.

## Why Work Here
- **High-Impact, Cutting-Edge AI Work**: Opportunity to work on one of the most important problems in AI — making agents reliable. The team is described as "exceptional researchers and engineers."
- **Strong Research Culture**: The lab publishes at top venues (ICLR) and contributes to open source (OpenThoughts). The work is a blend of product engineering and fundamental research.
- **Rapid Growth Stage**: With 238% YoY headcount growth and a recent seed round, this is an early-stage opportunity to shape the company's culture and technical direction.
- **Office-First, Collaborative Environment**: Based in Mountain View/Santa Clara with an emphasis on in-person collaboration. The team is small (28 people) but growing fast.
- **Notable Alumni & Hiring Sources**: The team attracts talent from Scale AI, Berkeley RISE Lab, Google DeepMind, and Grammarly, indicating a high-caliber peer group.
- **Open Roles**: Actively hiring for GPU/CUDA Engineers, Product Engineers, Scientific ML Engineers (PhD Interns), and Quantitative Financial Specialists, among others.

## Sources
1. [bespokelabs.ai](https://www.bespokelabs.ai/)
2. [bespokelabs.ai/about-us](https://www.bespokelabs.ai/about-us)
3. [linkedin.com/company/bespokelabsai](https://www.linkedin.com/company/bespokelabsai)
4. [pitchbook.com/profiles/company/651710-80](https://pitchbook.com/profiles/company/651710-80)
5. [jobs.ashbyhq.com/bespokelabs](https://jobs.ashbyhq.com/bespokelabs)

## Other roles at Bespoke Labs

- [RL Environments Engineer](https://feeny.ai/job/rl-environments-engineer-bespoke-labs-mountain-view-r1brn5r4z8ex) — Mountain View, CA
- [Desktop/System Administrator](https://feeny.ai/job/desktop-system-administrator-bespoke-labs-bengaluru-f4e04cka1jkn) — Bengaluru, India
- [Backend Engineer](https://feeny.ai/job/backend-engineer-bespoke-labs-mountain-view-2wfkmwxgk7se) — Mountain View, CA
- [Full Stack Engineer - MTV](https://feeny.ai/job/full-stack-engineer-mtv-bespoke-labs-mountain-view-mv3kv8nrts8f) — Mountain View, CA
- [Engagement Manager](https://feeny.ai/job/engagement-manager-bespoke-labs-mountain-view-4aevsp00m946) — Mountain View, CA
- [Founding Recruiter](https://feeny.ai/job/founding-recruiter-bespoke-labs-remote-hnw3zbanavm6)
- [Research Engineer](https://feeny.ai/job/research-engineer-bespoke-labs-mountain-view-vv4mp69f8z1b) — Mountain View, CA
- [Product Engineer (Bangalore)](https://feeny.ai/job/product-engineer-bangalore-bespoke-labs-bengaluru-zg7eead9kgg5) — Bengaluru, India
- [Design and Brand Storyteller](https://feeny.ai/job/design-and-brand-storyteller-bespoke-labs-mountain-view-asg657e8gnwr) — Mountain View, CA
- [AI Enterprise Engineer](https://feeny.ai/job/ai-enterprise-engineer-bespoke-labs-mountain-view-cvams3d3p42m) — Mountain View, CA