Software Developer - Fully Remote | Upto $30/hr

Obsidian

Mumbai

Remote

INR 180,000 - 300,000

Full time

12 days ago

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Job summary

Obsidian in Mumbai is seeking a Full-Stack Software Engineer to help build foundational AI models and production-ready software on top of frontier GenAI systems. You will work across Python, Java, Rust, C#, C++, and TypeScript, delivering end-to-end capabilities and integration with model APIs.

You will collaborate with the GenAI team and engineering manager, onboarding quickly to a fast-moving project, contributing working code early, and maintaining high standards in code quality and technical

Qualifications

  • 3+ years of professional experience building and shipping production software.
  • Production experience in at least one of Python, Java, Rust, C#, or C++ and proficiency in a second language.
  • Hands-on experience across backend services, APIs, a modern frontend framework (React or equivalent), databases, and cloud deployment.
  • Ability to onboard onto an unfamiliar codebase and deliver working code quickly.
  • Demonstrated career progression.
  • Willingness to commit to 40 hours/week on weekdays.
  • Strong written communication and clear technical reasoning.

Responsibilities

  • Build and ship full-stack applications and services across Python, Java, Rust, C#, C++, or TypeScript.
  • Integrate pre-release model APIs into working software with scaffolding, interface layers, and telemetry.
  • Diagnose and document model and integration issues, providing actionable feedback to the research team.
  • Prototype rapidly against evolving requirements, delivering working increments with minimal upfront spec.
  • Collaborate with the engineering manager and peers to maintain code quality, architecture, and docs.

Skills

Python
Java
Rust
C#
C++
TypeScript
React
Git
CI/CD

Tools

Git
CI/CD

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.

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