Senior Full-Stack Engineer

Weekday (YC W21); India; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Flexible working options

Competitive compensation

Exposure to cutting-edge engineering problems

Job summary

A tech-focused company is seeking an Associate-level Engineer to develop cutting-edge reinforcement learning environments. Candidates should have strong proficiency in TypeScript and Python, along with a background in backend architecture. This full-time position offers flexible working options and competitive compensation, allowing you to directly impact engineering systems at a high level.

Qualifications

• Minimum of 2 years experience in engineering roles.
• Experience in startup or small teams with fewer than 100 employees.
• Strong proficiency in TypeScript, especially for backend development.

Responsibilities

• Develop complex RL environments and sandbox systems.
• Switch between new codebases quickly to understand architectures.
• Build engineering challenges and automated evaluation systems.

Skills

TypeScript

Python

Backend Architecture & Development

Problem-Solving Ability

Full-Stack Development

Job description

Overview

This role is for one of our clients. Industry: Insurance. Seniority level: Associate level. Minimum experience: 2 years. Location: Remote (India). Job type: Full‑time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans.

Key Qualifications

• Startup / Small‑Team Experience: Prior experience in companies with fewer than 100 employees, where you operated with significant ownership (founding engineer, early independent contributor, 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 1–1.5 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