Full Stack Engineer - AI Lab

Mercor; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Mercor is seeking talented Full-Stack Software Engineers to join our GenAI initiative, building foundational AI models and production-grade software across Python, Java, Rust, C#, C++, and TypeScript. You will work with the AI lab's engineering manager on fast-moving projects and ship working code early.

This full-time role requires at least 3+ years of production software experience, ability to onboard quickly, and strong written communication.

Qualifications

• 3+ years of dedicated professional experience building and shipping production software.
• Production experience in at least one of Python, Java, Rust, C#, or C++, plus working proficiency in a second language.
• Hands‑on experience across the stack: backend services and APIs, a modern front‑end framework, databases, and cloud deployment.
• Ability to onboard onto an unfamiliar codebase and deliver working code quickly.
• Strong written communication skills and ability to explain complex technical decisions clearly.

Responsibilities

• Build and ship full‑stack applications, services, and internal tools — in Python, Java, Rust, C#, C++, or TypeScript.
• Integrate pre‑release model APIs into working software, including scaffolding and telemetry.
• Diagnose and document model and integration failure modes and provide feedback to research.
• Prototype quickly against shifting requirements and deliver working increments.
• Collaborate with the engineering manager and engineers to maintain code quality and documentation.

Skills

Python

Java

Rust

C#

C++

TypeScript

React

Cloud

APIs

Job description

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

1. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Full-Stack Software Engineers with hands‑on production experience across modern application stacks — Python, Java, Rust, C#, C++, and TypeScript — to build, integrate, and stress‑test real software on top of frontier models before they ship. Engineers work directly with the AI lab's engineering manager on fast‑moving projects and are expected to onboard quickly and contribute working code early.

This is a full‑time engagement of 40 hours per week.

2. Key Responsibilities

• Build and ship full‑stack applications, services, and internal tools — in Python, Java, Rust, C#, C++, or TypeScript — that exercise frontier model capabilities end to end.

• Integrate pre‑release model APIs into working software, including the surrounding scaffolding: tool interfaces, evaluation harnesses, and telemetry.

• Diagnose and document model and integration failure modes surfaced while building, translating engineering observations into clear written feedback for the research team.

• Prototype quickly against shifting requirements, delivering working increments with limited up‑front specification.

• Collaborate with the engineering manager and other engineers to maintain consistency in code quality, architecture, and technical documentation.

3. Core Qualifications

• 3+ years of dedicated professional experience building and shipping production software at a recognized, top‑tier organization.

• Production experience in at least one of Python, Java, Rust, C#, or C++, plus working proficiency in a second language — this cohort is intentionally staffed across multiple language ecosystems.

• Hands‑on experience across the stack: backend services and APIs, a modern front‑end framework (React or equivalent), relational or document databases, and cloud deployment.

• Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp‑up.

• Demonstrable career progression.

• Ability to engage reliably for at least 40 hours/week during weekdays.

• Strong written communication skills and the ability to explain complex technical decisions clearly.