We are hiring a Senior Backend & AI Engineer who pairs strong Python backend engineering with real, hands-on AI experience building LLM-powered products.

This is not a traditional backend role with AI bolted on. We want an AI-native engineer who already lives in the ecosystem: someone who follows new models, ships with them, and stays plugged into technical communities on X and GitHub.

WHO THIS ROLE IS FOR
You are a Senior Backend Engineer with 5+ years of experience, deep Python skills, and genuine curiosity about how systems work under the hood. You have built production AI features with LLMs, agents, RAG, and vector databases, and you can own a feature end to end from architecture to deployment.

WHAT YOU'LL DO
Design, build, and scale backend systems, APIs, services, and integrations in Python
Ship production AI features using LLMs, agents, RAG, vector databases, inference, and tool calling
Own features end to end, from architecture through deployment and iteration
Evaluate and implement emerging AI models, inference platforms, and developer tooling
Debug, optimize, and improve system performance, scalability, and reliability
Use AI coding tools daily to move faster without dropping quality

WHAT WE'RE LOOKING FOR




5+ years of software engineering experience
Strong Python backend engineering skills
Solid Computer Science or Computer Engineering fundamentals
Hands-on experience with AI, LLMs, and modern AI infrastructure
C or C++ and low-level systems experience is a major plus
Working knowledge of distributed systems, concurrency, networking, or operating systems
Track record building production APIs, databases, integrations, and scalable systems
Strong ownership and the ability to move fast independently
Startup or high-growth experience preferred

THE AI-NATIVE MINDSET
You already know what is happening across models, inference, AI infrastructure, agents, and developer tooling. Platforms and models like Fireworks AI, Baseten, and GLM / Zhipu are familiar territory, and you follow their evolution through X, GitHub, research, and technical communities.

Solid signals we love to see:
AI personal projects or GitHub repositories
Open-source contributions
Active experimentation with the latest models and AI tools
A real technical presence on X or GitHub
Curiosity about how things work under the hood
The ability to evaluate new AI technologies on your own

📌 Senior Backend Engineer, AI / LLM (Kanpur)
🏢 Magma Holding
📍 Kanpur