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Tier-1 brand and metro location increase applicant density despite specialized GenAI skill requirements.
Highly specialized GenAI, LLM fine-tuning, vector DB and MLOps skills limit cross-industry portability.
Multiple mandatory technical skills, cloud and MLOps experience, and explicit 7+ years requirement.
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Lead development of scalable AI backend systems focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic workflows.
Build and deploy production-scale GenAI pipelines using frameworks like LangChain or LlamaIndex with high availability and security.
Provide technical leadership including model fine-tuning, API development, data preprocessing, and mentorship to junior developers.
7+ years of software development experience, with 1-2 years in Generative AI or LLM integration.
Expert-level Python programming skills including asynchronous programming and OOP.
Experience with AI frameworks such as Hugging Face, PyTorch, or TensorFlow and GenAI libraries like LangGraph or CrewAI.
Proficiency in cloud deployment (AWS, Azure, or GCP), vector databases (Pinecone, Weaviate, FAISS), and containerization/CI-CD tools (Docker, Kubernetes, Jenkins, GitHub Actions).
Experienced in designing and operating production-grade AI systems that integrate multiple AI models and workflows.
Proficient in end-to-end AI solution development from model fine-tuning to API integration and MLOps practices.
Strong leadership orientation demonstrated by guiding technical direction and mentoring junior engineers in complex AI projects.