Senior AI Engineer
Location: Remote
Employment: Full-Time
Experience: 5+ Years
Working Hours: 6:00 PM - 3:00 AM IST (aligned with EST)
Preferred: Startup / High-Growth Technology Experience
ABOUT THE ROLE
We are looking for a Senior AI Engineer who combines deep, hands-on AI expertise with strong backend engineering. Our backend stack is primarily Python. We strongly prefer candidates with a Computer Science or Computer Engineering background and strong core systems fundamentals, with C/C++ experience being a major plus.
The ideal candidate is genuinely AI-native and highly curious - someone who actively follows the latest developments in AI, builds with new models and infrastructure, and stays plugged into technical communities such as X and GitHub. Crucially, this pull toward AI is intrinsic. It shows up in what they build and follow on their own time, not because a past employer required it.
WHAT YOU'LL DO
• Build production AI features using LLMs, agents, RAG, vector databases, inference, tool calling, and AI automation
• Evaluate and implement emerging AI models, inference platforms, frameworks, and developer tools
• Design, build, and scale backend systems, APIs, services, and integrations using Python
• Own features end to end, from architecture through deployment and iteration
• Debug, optimize, and improve system performance, scalability, and reliability
• Use AI coding tools extensively to improve engineering speed and quality
WHAT WE'RE LOOKING FOR
• 5+ years of software engineering experience
• Significant hands-on experience with AI and LLMs and modern AI infrastructure
• Strong, professional Python backend engineering experience - Python should be a primary language you have built and shipped production systems in, not a secondary or occasional one
• Strong Computer Science / Engineering fundamentals
• C/C++ or low-level systems experience highly preferred
• Understanding of distributed systems, concurrency, networking, performance, or operating systems
• Experience building production APIs, databases, integrations, and scalable systems
• Strong ownership and the ability to work independently in a fast-moving environment
• Startup / high-growth experience preferred
AI-NATIVE MINDSET: CRITICAL
We are not looking for a traditional backend engineer who has recently added AI to their resume. The ideal candidate is already deeply plugged into the AI ecosystem and knows what is happening across models, inference, AI infrastructure, agents, and developer tooling.
Most importantly, they are drawn to this out of genuine interest and curiosity, not because a job pushed them into it. They experiment with new models on their own, they have opinions on tradeoffs, and they keep up because they want to, not because they have to.
They should naturally be familiar with emerging platforms and models such as Fireworks AI, Baseten, GLM/Zhipu, and similar technologies, and actively follow their evolution through X, GitHub, research, and technical communities.
STRONG SIGNALS INCLUDE
• AI-related personal projects or GitHub repositories
• Open-source contributions
• Actively experimenting with the latest models and AI tools
• An active technical presence on X and GitHub
• Strong curiosity about how systems work under the hood
• The ability to evaluate new AI technologies independently and form a point of view
IN SHORT
5+ years | AI/LLMs (hands-on, production) | Python Backend | CS/Engineering Fundamentals | C/C++ Preferred | AI-Native by Genuine Interest | Systems Mindset | Builder Mentality