GEN AI Developer
Citi (company site, opens in a new tab)5–8 yrsGurugram, BengaluruHybridDirect career pageEst. 30–55 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end delivery of AI-powered products, including design, implementation, testing, deployment, and support within the TTS Analytics team.
- Apply Generative AI techniques (prompt engineering, RAG, fine-tuning) and deep learning to solve client experience and operational business problems using diverse data sources (unstructured and structured).
- Collaborate with cross-functional teams (product, business, data, operations) to translate ambiguous problems into actionable AI solutions while ensuring risk compliance and producing clear technical documentation.
Minimum Requirements
- 5 to 8 years of relevant Data Science experience including at least 2 years in Generative AI solutions.
- Strong hands-on experience with LLMs, transformer architectures, prompt engineering, and Retrieval-Augmented Generation techniques.
- Proficiency with ML/DL frameworks such as PyTorch, TensorFlow, Hugging Face ecosystem, and knowledge of MLOps practices including model deployment, monitoring, and optimization.
- Master’s degree preferred in Computer Science Engineering or related field.
Ideal Candidate Profile
- Experienced in shipping AI-enabled products to production in an agile environment, especially within financial services domain focused on client experience and operations.
- Comfortable working with both structured and unstructured data sets, integrating multiple analytical approaches and AI methods.
- Skilled in building partnerships across product, business, and operations teams to drive strategic AI initiatives with effective communication and risk awareness.