Applied Scientist - Agentic AI in Bombay, भारत

About the Role:Our client is an AI-first B2B2C platform transforming the Real Estate industry. We build intelligent, agentic, and automated solutions that improve productivity, accelerate sales velocity, and enable data-driven decision-making for developers, channel partners, and https://jobeax.com/link/G0Y46me9LCT0tSGT Responsibilities:- Build and ship chat, voice, and multimodal AI agents integrated into production products.- Design agent workflows using LLMs, tools, memory, and state.- Implement voice pipelines, including ASR, TTS, turn-taking, and interruptions.- Work on Indian language voice agents, including latency and quality tuning.- Develop workflow automation logic driven by agents.- Build task execution systems where agents plan, act, and verify outcomes.- Design and implement media and martech agents as part of product features.- Build persona-based systems for content, campaigns, and engagement.- Implement agent moderation and control mechanisms.- Add observability, logging, and debugging for AI behavior.- Reduce hallucinations and failure modes through system design.- Collaborate closely with product, design, and engineering https://jobeax.com/link/tbV87hPFdlI3znrY and Skills:- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science.- Hands-on experience building LLM-powered applications.- Experience with chat agents or conversational systems.- Understanding of tool calling, agent loops, memory, and state.- Experience integrating AI, APIs and MCP's into backend or product workflows.- Familiarity with voice AI systems or strong interest in building them.- Ability to rapidly prototype and iterate on AI-driven features.- Strong debugging mindset for real-world AI failures.- Comfort working in fast-moving product https://jobeax.com/link/FIDahrqS6LoVGB3n plus if you have experience with:- Voice agents, speech-to-text, text-to-speech, telephony systems, Indian language NLP or speech systems.- Workflow automation or agent orchestration frameworks.- RAG systems, embeddings, and vector databases.- Martech, CLM, campaign automation, or ad-tech workflows.- Persona-based content or personalization systems.- SaaS products with real users and scale constraints. (ref:hirist.tech)