Software Engineer, Full Stack - India (Train AI Models Part Time!)

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role.

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.