Gen AI Developer

Talent Acquisition Specialist @ TATA CONSULTANCY SERVICES | Bachelor of Engineering Direct message the job poster from Tata Consultancy Services Inclusion without Exception: Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes. About TCS: TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS operates in 55 countries and employs over 607,000 highly skilled individuals, including more than 10,000 in Canada. The company generated consolidated revenues of US $ 30 billion in the fiscal year ended March 31, 2025 [BS1] and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index. Responsibilities Seeking for a motivated Gen AI Engineer to work with our Global Advanced Customer Analytics team and develop & support solutions primarily focused on customer insight knowledge bot. Gen AI use case requirements understanding working with product owners, business and design LLM solutions aligned with Manulife approved RAG patterns. Drive data requirements conversations and work with data office to get required data for the use case; design efficient chunking & indexing strategies to support answer generation as per expectations; develop and deploy inference APIs using frameworks like Lang Chain and deploy to AKS or function apps. Capable to pick up UI work as needed to support front end integration collaborating with UI team. Support Gen AI knowledge BOTs in production by monitoring user feedback and improve BOT response quality through enhancements as per feedback. Embrace best practices and processes related to ML Ops, coding best practices. Experience in optimizing model accuracy by efficient prompt refinements. Collaborate with existing members in the team, contribute to reusable Gen AI code base. Qualifications Good years of experience solving high-impact business problems using Machine learning & latest advancements in LLMs. Proven experience as a ML Engineer, with a strong focus on generative AI, prompt engineering, and RAG applications. Hands-on experience using Azure AI search, Lang Chain, other vector stores. Experience in Azure Open AI. Open-source LLMs is a plus. Strong software development skills with proficiency in Python, PySpark, preferably using Databricks Azure ML. Basic knowledge of React or equivalent UI frameworks is a plus. Strong experience in supporting production applications post development and continuously improving response quality to increase benefits. Strong collaboration skills, ability to translate sophisticated requirements into technical backlog, presentation skills, and an ability to balance a sense. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resources. Candidates that meet the qualifications for this position will be contacted within a 2-week period. #J-18808-Ljbffr