Software Engineer, Full Stack — India at Mercor

aitrainer; India; On-site; INR 2,500,000 - 4,800,000; Full time

Job summary

aitrainer is seeking a Full-Stack Software Engineer to join a cutting-edge GenAI team. You will build, integrate, and stress-test full-stack applications atop frontier models, collaborating with the engineering manager to ship working code rapidly.

You should have 3+ years of professional production software experience across Python, Java, Rust, C#, C++, or TypeScript, plus proficiency in a second language. Expect a fast onboarding and 40-hour work weeks.

Qualifications

• 3+ years of dedicated professional experience building and shipping production software.
• Proficiency in at least one of Python, Java, Rust, C#, or C++, plus a second language.
• Hands-on experience across the stack: backend services and APIs, React or equivalent frontend, 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 commit to at least 40 hours/week during weekdays.
• 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 — that exercise frontier model capabilities end to end.
• Integrate pre-release model APIs into working software, including scaffolding, tool interfaces, evaluation harnesses, and telemetry.
• Diagnose and document model and integration failure modes surfaced while building, translating engineering observations into clear feedback for research.
• Prototype quickly against shifting requirements, delivering working increments with limited up-front specification.
• Collaborate with the engineering manager and other engineers to maintain code quality, architecture, and documentation.

Skills

3+ years experience

Proficient in Python

Proficient in Java

Polyglot (Rust/C#/C++)

Frontend React

Backend APIs

Cloud deployment

Job description

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.

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.

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.


• We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.