Job
Description
This role is for one of our clientsIndustry: InsuranceSeniority level: Associate levelMin Experience: 3 yearsLocation: Remote (India)JobType: full-timeWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.We are looking for highly capable engineers who thrive in high-ownership environments and can independently build complex systems that power next-generation AI agents. This role blends deep backend engineering, full-stack problem-solving, and hands-on work with reinforcement learning environments used by leading AI research teams.
What You'll Bring
Proven experience in small, fast-paced teams where individuals own large parts of the product (e.g., early-stage startups, founding engineering roles, CTO-level exposure).Strong command of at least one major backend-focused stack: TypeScript, Python, Go, or Java
, with bonus points for TypeScript proficiency.Background as a product engineer, platform engineer, or ML engineer
who has built real systems not limited to infrastructure maintenance or pure data science.Ability to independently break down complex technical problems, debug unfamiliar systems, and accelerate development using tools like Cursor.Solid fundamentals in software engineering and the confidence to work inside large, unfamiliar codebases on short timelines.What You'll Work On
Build and maintain RL environments and sandbox systems
that help train advanced coding agents used by top AI labs.Rapidly onboard to new codebases (every 46 weeks), develop a strong understanding, and design RL tasks and scenarios around them.Create engineering challenges, design mocks, write comprehensive test suites, and handle supporting infra pieces to deliver high-fidelity RL workflows.Build internal tools, utilities, and frameworks that enable the environment team to prototype and iterate significantly faster.Contribute across the stack when needed, while primarily owning backend behavior, system logic, and environment dynamics.Why Join Us
Work with an exceptionally skilled, deeply technical founding team with expertise in reinforcement learning, systems engineering, and large-scale product development.Contribute to building one of India's most talented engineering groups.Collaborate directly with founders in a high-trust, high-ownership environment.Tackle some of the hardest and most exciting problems in the AI ecosystem, shaping the future of agentic systems.Competitive compensation, strong growth potential, and support from top-tier global investors.Bangalore-based in-person setup, with flexibility for extraordinary remote candidates.Key Skills
PyTorchML model trainingML model deploymentBackend engineering fundamentals (TypeScript / Python / Go / Java)Full-stack development (as required)
