Responsibilities
- Manage roadmap, project priorities and owning delivery of solutions.
- Foster a culture of rapid experimentation, encouraging team members to iterate quickly and learn from successes and failures.
- Collaborate closely with Product Managers, other Engineering leads, and Data Science experts to align on priorities and drive cross-functional initiatives.
- Build a deep understanding of the Gen AI landscape, constantly exploring new technologies and methodologies.
- Develop, optimize, and deploy applications using large language models (LLMs) to meet specific business requirements and use cases across various business units and functions.
- Stay informed about the latest advancements in Generative AI research and techniques, and establish best practices for effectively leveraging Gen AI.
- Develop deep understanding of the relevant application domain and rapidly iterate on experiments.
- Collaborate with cross-organizational teams to integrate GenAI-driven solutions seamlessly into existing applications.
- Work closely with leadership and stakeholders to identify AI opportunities and develop strategies for integrating GenAI technologies into Flipkart’s business operations.
- Mentor and guide team members in understanding and applying large language models effectively, fostering a culture of innovation and continuous learning.
- Deliver solutions following modern software development practices, including Agile methodologies, test-driven development (TDD), and scalable architecture design.
- Implement Gen AI paradigms such as prompt engineering and Retrieval-Augmented Generation (RAG).
Knowledge, Experience & Qualifications Required
- Bachelor’s degree in computer science, IT, AI, or a relevant discipline.
- 7+ Years of experience in Software Engineering
- 2+ years of experience as technical leader or managing teams of 5-10 people.
- Hands on Technical leadership experience is preferred and the expectation in this role.
- Solid proficiency (4+ years) in Python and related AI/ML libraries.
- Experience deploying AI-driven data products or solutions.
- Ability to write high-quality, maintainable code and work collaboratively.
- Hands-on experience with Generative AI tech: Open AI / Gemini models or other open source large language models (LLMs) and large vision / multimodal models.
- Experience with Embeddings and Vector Databases, and frameworks such as Langchain or HuggingFace.
- Deep understanding of Gen AI paradigms such as Retrieval Augmented Generation (RAG) architecture and prompt engineering techniques.
- Experience with API-based integrations and cloud deployment (e.g., AWS, Azure, GCP).
- Consultative skills, including the ability to understand and apply customer requirements effectively, with strong analytical skills for problem-solving.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or equivalent.
Preferred Qualifications
- Experience in one or more of the following domains: search, recommender systems, NLP/text summarization, computer vision / visual search, conversational assistants.
- Experience with full-stack engineering and microservices architecture.
- Familiarity with cloud platforms and distributed computing for AI applications.
- Proficiency in SQL for data manipulation and querying.
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