Work mode : Onsite.

About Tamasha.live :

Tamasha.live is one of India's fastest-growing live entertainment and social gaming platforms, trusted by 2.5 Million+ active users. Built on the belief that entertainment should be immersive, rewarding, and community-driven, Tamasha brings together games, creators, and live experiences in one vibrant ecosystem. Our growing portfolio of apps spans social connection, entertainment, and live gaming : Dosti, DostiPro, MastiPro, FriendChat, Playroom, Openly, Cricsignal, Prabhu ji and Audio Jockey. Now we are building the next layer : vertical AI agents that help people with everyday needs. Each agent is grounded in a domain and earns money from the real value it delivers, not by charging people to chat.

The role :

You'll own the AI platform that every Tamasha agent runs on, and the business results those agents produce. The job is to make each agent predictable : it stays in character, remembers what matters, gets its domain right, and is safe and compliant, every time. This is a high-visibility role : you will report directly to the Co-Founder and work across Tamasha's multi-app ecosystem.

What you'll do :

- Build the shared platform : a reusable agent framework, long-term memory, evaluations, guardrails and domain tools.

- Set the model strategy. Choose and combine open-source LLMs (Llama, Qwen, Gemma, Indic models), using hosted APIs only where they're worth it. Fine-tune (SFT, DPO, LoRA) when it improves quality or cuts cost.

- Own unit economics. Lower the cost per conversation with routing from small to large models, distillation, caching and quantised self-hosting.

- Make every agent predictable : persona consistency, memory design, accuracy, and safety on sensitive topics.

- Build evaluations, offline and online, including red-teaming, tied to conversation-to-transaction conversion and to retention.

- Work with domain experts to turn their knowledge into deterministic tools and grounded content.

- Protect user data : comply with the DPDP Act, and give users control over what agents remember.

- Hire, mentor and grow the AI team, starting with a Staff AI Engineer.

What you'll need :

- Hands-on approach.

- Around 10 years or more in ML or NLP, including shipping LLM or conversational systems to real users at scale.

- Hands-on depth in fine-tuning and evaluating open-source models, and in retrieval and memory design.

- A track record of cutting inference cost and latency without losing quality.

- Experience making model behaviour measurable and reliable through evaluations, guardrails and regression checks.

- Business judgement : you choose models and features by their effect on conversion, retention and margin.

- Experience leading engineers and explaining trade-offs clearly to founders.

Why join Tamasha?

- Direct Co-Founder exposure : Report to the Co-Founder. Your work has board-level visibility and real strategic impact.

- Data-rich environment : Access to rich behavioural and conversational data across millions of users and multiple apps.

- Real ownership : A founding role building one AI platform behind several consumer agents, in a business that rewards solving real problems.

- Multi-app ecosystem : Work across apps at different stages : early-stage, growth, and scale, all in one company.

- Compensation : No limit for the right person.