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Strong Tier-1 brand, metro location, and broad GenAI skillset increase applicant density.
Specialized LLM, GenAI, vector DB, and MLOps skills reduce cross-industry transferability.
Explicit 7+ years and many mandatory GenAI, ML, and cloud/DevOps skills enforce strict shortlisting.
Architect and lead deployment of scalable production-grade AI systems focusing on Large Language Models, Retrieval-Augmented Generation, and Agentic workflows.
Develop and optimize backend systems, RESTful/GraphQL APIs, and AI model pipelines using frameworks like LangChain or LlamaIndex.
Implement LLM fine-tuning (LoRA/QLoRA), data ingestion, MLOps practices, and provide technical leadership including code reviews and mentorship.
Advanced Python expertise with 5-8+ years, including asynchronous programming and OOP.
Experience with AI frameworks such as Hugging Face, PyTorch, or TensorFlow and GenAI libraries like LangGraph or CrewAI.
7+ years in software development with at least 1-2 years in Generative AI or LLM integration.
Bachelor's or Master's degree (or equivalent experience) in Computer Science, Engineering, or related STEM field.
Strong background in building scalable AI backend architectures with measurable impact on production stability and security.
Hands-on experience deploying AI services on cloud platforms (AWS, Azure, or GCP) and managing CI/CD and container orchestration technologies.
Practitioner familiar with advanced LLM fine-tuning techniques, prompt engineering, and integration of vector databases such as Pinecone or FAISS.