Head of AI, Vertical AI AgentsTamasha.live
· India's Most Exciting Live Entertainment Platform

Location:
Bangalore
· Reporting to: Co-Founder
· Team: AI
· Type: Full-Time
· Work mode: Onsite About Tamasha.liveTamasha.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.
• Astrology & Guidance Agent draws on Indian astrology to give people hope, plus practical remedies for life's problems. Guiding them in life practically and spiritually and not exploiting them.
• Cricket Agent makes cricket more entertaining and engaging. An AI that can do live commentary in all major Indian languages with characters like comedian, serious, entertainer etc.
• Expert Matchmaker Agent is a matchmaking concierge that helps people find the right match, including preferences they haven't said out loud. Reducing that cost from traditional 20-50k per month to thousands. The agents work by voice and text, in Hindi, Hinglish and regional languages, built for Bharat. The roleYou'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 protected and compliant, every time.



It also has to be cheap enough to run that chatting costs people very little, while revenue comes from what they actually buy: remedies, pujas, matches and more. 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. Each vertical plugs in its own personality, knowledge and transactions.
• Set the model strategy. Choose and combine open-source LLMs (Llama, Qwen, Gemma, Indic models such as Sarvam's), 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 cost per resolved need a core metric.
• Make every agent predictable:
• a persona that stays consistent across sessions
• memory design: what to remember, summarise, retrieve and forget
• accuracy, both factual and in the domain
• safety on sensitive topics such as health, money, self-harm and personal data, with clear disclaimers and escalation
• Build evaluations, offline and online, including red-teaming, tied to conversation-to-transaction conversion and to retention.
• Work with domain experts (astrologers, cricket analysts, matchmakers)



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. Nice to have
• Indic or multilingual NLP.
• Hindi or Hinglish voice systems.
• Consumer companion, faith-tech, matchmaking or sports products.
• Safety work in sensitive domains.
• vLLM and GPU serving. 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, not maximising chat time. No bureaucracy: you own it end-to-end.
• 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.
• Interested? We'd love to hear from you: [email protected] | tamasha.live

📌 Head of AI, Vertical AI Agents (Bengaluru)
🏢 Tamasha.live
📍 Bengaluru