We're hiring a Senior Backend & AI Engineer who combines strong Python backend engineering with deep, hands-on AI expertise. This is not a role for someone adding AI to their resume, it's for someone who's already AI-native: building with LLMs, agents, and modern AI infrastructure as a core part of how they work, and genuinely plugged into the latest developments in the space.

Our backend stack is primarily Python. We strongly prefer candidates with a Computer Science or Computer Engineering background and strong core systems fundamentals. Startup or high-growth company experience is a plus.

What You'll Do

- Design, build, and scale backend systems, APIs, services, and integrations in Python
- Build production AI features using LLMs, agents, RAG (Retrieval-Augmented Generation), vector databases, inference infrastructure, tool calling, and AI automation
- Own features end-to-end, from architecture through deployment and iteration
- Evaluate and implement emerging AI models, inference platforms, and developer tools
- Debug, optimize, and improve system performance, scalability, and reliability
- Use AI coding tools extensively to move faster without sacrificing quality

What We're Looking For





- 4+ years of professional software engineering experience
- Strong Python backend engineering skills (APIs, databases, distributed systems, production-scale services)
- Real, hands-on experience with LLMs, RAG, agents, tool calling, and modern AI infrastructure, not just API integration
- Robust Computer Science / Engineering fundamentals: distributed systems, concurrency, networking, performance, or operating systems
- C/C++ or other low-level systems experience is a plus
- Startup or high-growth environment experience preferred
- Strong ownership mindset and ability to work independently in a fast-moving environment

You're a Strong Fit If You

- Already follow developments across models, inference platforms, and AI infrastructure (Fireworks AI, Baseten, GLM/Zhipu, and similar) through technical communities, X, GitHub, and research
- Have AI-related personal projects, open-source contributions, or a public technical presence
- Actively experiment with new models and AI tools as they release
- Have strong curiosity about how systems work under the hood
- Can evaluate recent AI technologies independently, without needing them explained

📌 Senior AI Engineer (India)
🏢 Hey Recruiting
📍 India