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Senior Generative AI scientist

Weekday AI

This job is closed: the employer no longer lists it.

Skills

Required

  • AI
  • observability
  • monitoring
  • applied AI
  • conversational and voice AI systems
  • RAG pipelines
  • LLM architecture
  • PyTorch
  • TensorFlow
  • Azure
  • Python
  • Apache
  • Spark / Dask

Preferred

  • LLM
  • retrieval
  • RAG
  • retrieval‑augmented generation pipelines
  • continuous experimentation
  • model fine‑tuning
  • best‑practice guidelines

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.

Responsibilities

  • 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.
  • 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.

Requirements

  • 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.

Pay

Salary: INR 2,500,000–5,000,000

  • 𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟱-𝟱𝟬 𝗟𝗣𝗔)
  • Experience: 6+ yrs

Benefits

  • Passion for staying current with AI advancements and integrating the latest innovations into practical solutions.

Senior Generative AI scientist

Weekday AI · Pune, India · Full-time · Posted 2026-10-28

Description

  • 𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
  • Location: pune, bangalore, chennai

Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/EF7E097104/apply)