Senior Full-Stack Engineer

This role is for one of our clientsIndustry: InsuranceSeniority level: Associate levelMin Experience: 2 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 exceptional full-stack engineers who excel in high-ownership, fast-moving environments. This role is ideal for engineers who have experience in small teams or early-stage product setups and enjoy taking complete responsibility for complex technical problems. You will work closely with a deeply technical team to build systems that power next-generation RL environments and agent-driven development workflows.

Key Qualifications

Startup / Small-Team Experience:

Prior experience in companies with fewer than 100 employees, where you operated with significant ownership (founding engineer, early IC, or tech lead).

Strong Expertise in One Primary Stack:

Proficiency in

TypeScript, Python, Go, or Java

, with a strong preference for candidates experienced in

TypeScript

, especially for backend development.

Engineering Background:

Experience as a

product engineer, platform engineer, or ML-focused engineer

.(We are

not

seeking candidates whose primary scope is CI/CD, infrastructure engineering, or pure data science.)

Backend Excellence:

Deep understanding of backend architecture, systems design, testing, and API development. Frontend experience is valuable but not mandatory.

Strong Problem-Solving Ability:

Capable of independently solving complex engineering problems without relying on AI tools, while still able to use modern AI systems efficiently to accelerate workflows.

What You Will Do

Build Cutting-Edge RL Environments:

Develop complex RL environments and sandbox systems used by top LLM teams to train coding agents.

Rapid Codebase Onboarding:

Switch between new codebases every 11.5 months, quickly understand architectures, and design RL tasks aligned with each environment.

Design Evaluation Systems:

Build engineering challenges, task frameworks, scoring mechanisms, test suites, and mock infrastructure.

Full-Stack Contribution:

Work across backend, testing, mocks, task evaluation, and light frontend when required.Navigate infrastructure components as needed to support environment functionality.

Internal Tooling & Automation:

Build internal tools and agent-driven systems that accelerate RL environment development and testing.

What You Gain

High-Ownership, High-Impact Work:

Your contributions directly shape the foundation of RL environments and agent-driven engineering systems.

Top-Tier Engineering Culture:

Join a deeply technical team that values autonomy, precision, and rapid iteration.

Flexible Working Options:

Ability to work on-site at a growing tech hub, with remote options for outstanding candidates.

Competitive Compensation:

Strong salary, aggressive growth opportunities, and exposure to cutting-edge engineering problems.

Work on Frontier Technology:

Build at the intersection of software engineering, reinforcement learning environments, and LLM-powered workflows.

Skills & Technologies

Python

TypeScript

Backend Architecture & Development

React.js / Full-Stack Development