GenAI Dev Lead

Job Title: GenAI Dev Lead

Posting Start Date: 17/07/2026

Job Description: Key Responsibilities: The position will be directly responsible for the following: • Drive innovation through state-of-the-art LLM integration and Retrieval-Augmented Generation (RAG) strategies using Dataiku and modern AI frameworks • Experience with LLM Mesh, RAG pipelines, vector databases, embeddings, prompt engineering, and integration • Build applications powered by LLMs (OpenAI, Claude, Mistral, etc.) using LangChain, LlamaIndex, and related GenAI frameworks. • Implement RAG pipelines with vector DBs (Pinecone, FAISS, pgvector, ChromaDB) for grounding LLM responses with internal knowledge • Develop multimodal AI solutions (text, audio, image) and build autonomous agents where relevant. • Continuously improve model reliability, relevance by tuning prompt flows • Deploy GenAI models on AWS/GCP/Azure using services like SageMaker, Bedrock, Vertex AI • Ideate and design innovative solution frameworks aligning to market trends and technological innovations. Translating healthcare clients' business needs into technical solutions meeting user needs and business goals • POC building, go to market strategy building by application of AI/Gen AI use cases wherever applicable. Integrate large language models (LLMs), computer vision, or other AI/ML techniques into business solutions. • Proactively communicate, internally and externally with senior stakeholders within the team, ensuring that any issues / concerns are handled in a timely manner. • Candidate should be a self-starter and be open to new learnings. Provide technical leadership/ mentorship to junior team members; groom them for additional responsibilities. • Collaborate with other members within the team to innovate through automation / new ideas / capabilities / tools. Technical Experience • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field. • 5+ years of experience in software development, with at least 3 years in AI/ML or GenAI. Experience with LLM Mesh. (preferred - Dataiku LLM Mesh) • Deep understanding of digital channels, marketing tactics, brand strategies, and marketing analytics • Hands-on experience with LLMs (OpenAI, Claude, LLaMA, etc.), vector databases, and GenAI frameworks (LangChain, LlamaIndex, etc.). • Proficiency in Python, pyspark and/or Java/JavaScript/TypeScript. • Strong understanding of cloud platforms (Azure/AWS/GCP), especially AI-related services. • Experience with frontend frameworks (React, Angular) and backend APIs. • Pharma and Healthcare domain understanding is a good to have Skills • Primary Skill: Proficient in Dataiku LLM mesh and RAG approaches • Sub Skill(s): AI/ML Development • Additional Skill(s): TensorFlow, NLP, Pytorch, GenAI Fundamentals