{"id":3410596,"url":"https://alion.io/job/weekday-senior-generative-ai-scientist","title":"Senior Generative AI scientist","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":92,"ghost_share":0,"stale_share":0.978,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India","Bengaluru, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Dask","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-28T17:42:54Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-01T11:14:08Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"'\n: - ( - )\nExperience: 6+ yrs\nLocation: pune, bangalore, chennai\nAs 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.\nRequirements\nLead the research, design, and implementation of conversational AI models that power chat, voice, and multimodal interfaces.\nDevelop and maintain end-to-end RAG systems, including data curation, semantic indexing, and retrieval heuristics.\nImplement observability frameworks for LLMs, monitoring metrics such as latency, hallucination rates, and bias indicators.\nConduct rigorous A/B testing and real-world validation to refine model outputs and user experiences.\nMentor junior scientists and data engineers, fostering a culture of experimentation and continuous learning.\nCollaborate with cross-functional teams to define product roadmaps and quantify AI impact on key business KPIs.\nSpearhead the adoption of open-source and proprietary tools for model training, evaluation, and deployment in cloud environments.\nDrive the creation of guidelines and policies for responsible AI, ensuring compliance with regulatory and ethical standards.\nEngage with academic and industry communities to stay abreast of emerging research and technologies.\nPresent findings and strategic insights to senior leadership, shaping the organization’s AI strategy.\n6+ years of experience in applied AI, with a strong focus on conversational and voice AI systems.\nProven expertise in building and scaling RAG pipelines, leveraging retrieval techniques and knowledge graphs.\nDeep knowledge of LLM architecture and the ability to implement observability and monitoring solutions.\nHands-on experience with major frameworks (PyTorch, TensorFlow, Hugging Face, LangChain) and cloud platforms (AWS, GCP, Azure).\nStrong programming skills in Python, along with proficiency in data engineering tools such as Apache Spark or Dask.\nTrack record of publishing research papers or delivering open-source contributions in AI and NLP domains.\nExcellent collaboration and communication skills, with the ability to translate technical concepts to non-technical stakeholders.\nDemonstrated leadership in guiding cross-functional teams through end-to-end AI projects from ideation to production.\nAbility to think strategically about AI product roadmaps and articulate long-term vision.\nPassion for staying current with AI advancements and integrating the latest innovations into practical solutions.","description_format":"text","description_chars":2998,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous 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