Senior AI Engineer
Company: Pepper Content Location: Mumbai (In-office) Employment Type: Full-time Seniority: Senior Experience: 6-10 years
About the Role
This is a strategic builder role for an engineer who wants to own outcomes, not tickets. You will design, build, and ship agentic AI systems end to end, moving fast, putting things in front of users, and scaling what works. You sit at the intersection of product and engineering, and you treat both as your job. This is an in-office role based in Mumbai.
We are looking for someone who has already built real agent systems: orchestration, tool use, memory, and the LLM interfaces that hold it all together. You are fluent across the model landscape, comfortable switching between providers and open-source models, and you know how to get the best out of each. You think in terms of what the product needs and ship at a pace that compounds.
What You Will Do
- Build and ship agentic AI systems end to end, from idea to production, at a fast and deliberate pace
- Design and own the LLM interface layer: orchestration, tool calling, memory, evaluation, and the glue that makes agents reliable
- Work fluently across many LLMs (proprietary and open-source), choosing and routing the right model for each job
- Shape product and technical direction together, deciding not just how to build but what is worth building
- Set the engineering standards and best practices for LLM and agent application development
- Iterate on models and systems with a sharp focus on real business and user impact
- Scale systems from first working version to production-grade reliability, performance, and cost efficiency
- Stay ahead of the frontier and bring the best new models, tools, and techniques into the product quickly
What We Are Looking For
- Proven experience building agentic systems in production, not just demos or prototypes
- Deep, hands-on experience with LLMs: prompt engineering, fine-tuning, tool use, retrieval, and evaluation
- Fluency across multiple LLM providers and open-source models, with strong judgment on tradeoffs
- 6-10 years of software engineering experience, strong fundamentals, fluent in Python, and comfortable owning systems end to end
- Solid grasp of NLP, ML, and LLM fundamentals
- Experience building, deploying, and scaling ML and LLM pipelines in production
- A genuine product sense: you can hold both the user problem and the engineering reality at once
- A strong bias for action, fast iteration, and continuous learning
- Deep interest in the latest open-source models, agent frameworks, and AI advancements
Who Will Thrive Here
You will do your best work here if you like ambiguity, move quickly without breaking trust, and care as much about shipping the right thing as shipping it fast. You want real ownership over what gets built and how, and you measure yourself by what reaches users and scales.