Senior Generative AI scientist

'

: - ( - )

Experience: 6+ yrs

Location: pune, bangalore, chennai

As a Senior Generative AI Scientist, you will spearhead the design and deployment of cutting-edge conversational and voice intelligence solutions, driving the integration of large language models with real-world applications. You will architect and optimize retrieval-augmented generation pipelines, ensuring robust LLM observability and performance at scale. Collaborating closely with product, engineering, and data teams, you will translate business challenges into AI-enabled products that deliver measurable impact. Your role will involve continuous experimentation, model fine-tuning, and the development of best-practice guidelines for responsible AI use.

Requirements

• Lead the research, design, and implementation of conversational AI models that power chat, voice, and multimodal interfaces.
• Develop and maintain end-to-end RAG systems, including data curation, semantic indexing, and retrieval heuristics.
• Implement observability frameworks for LLMs, monitoring metrics such as latency, hallucination rates, and bias indicators.
• Conduct rigorous A/B testing and real-world validation to refine model outputs and user experiences.
• Mentor junior scientists and data engineers, fostering a culture of experimentation and continuous learning.
• Collaborate with cross-functional teams to define product roadmaps and quantify AI impact on key business KPIs.
• Spearhead the adoption of open-source and proprietary tools for model training, evaluation, and deployment in cloud environments.
• Drive the creation of guidelines and policies for responsible AI, ensuring compliance with regulatory and ethical standards.
• Engage with academic and industry communities to stay abreast of emerging research and technologies.
• Present findings and strategic insights to senior leadership, shaping the organization’s AI strategy.
• 6+ years of experience in applied AI, with a strong focus on conversational and voice AI systems.
• Proven expertise in building and scaling RAG pipelines, leveraging retrieval techniques and knowledge graphs.
• Deep knowledge of LLM architecture and the ability to implement observability and monitoring solutions.
• Hands-on experience with major frameworks (PyTorch, TensorFlow, Hugging Face, LangChain) and cloud platforms (AWS, GCP, Azure).
• Strong programming skills in Python, along with proficiency in data engineering tools such as Apache Spark or Dask.
• Track record of publishing research papers or delivering open-source contributions in AI and NLP domains.
• Excellent collaboration and communication skills, with the ability to translate technical concepts to non-technical stakeholders.
• Demonstrated leadership in guiding cross-functional teams through end-to-end AI projects from ideation to production.
• Ability to think strategically about AI product roadmaps and articulate long-term vision.
• Passion for staying current with AI advancements and integrating the latest innovations into practical solutions.