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Generic mid-level AI developer title, 2-year requirement, and Bangalore location increase candidate competition.
LLM/GenAI expertise is transferable across industries but requires ML/NLP domain experience.
Explicit 2-year minimum plus mandatory LLM, RAG, vector DB, and LangChain/tooling experience.
Design and develop Generative AI solutions using large language models (LLMs) with Python to address specific business needs.
Collaborate with cross-functional teams to translate stakeholder requirements into scalable AI-driven applications using prompt engineering, fine-tuning, and RAG techniques.
Deploy, monitor, and maintain GenAI models and APIs in production ensuring performance, scalability, and reliability.
Minimum 2 years of relevant proven experience as an AI Developer.
Proficiency in Python and good understanding of multiple GenAI models (OpenAI, LLAMA2, Mistral) and local GPT setups using tools like ollama and lm studio.
Experience with LLMs, Retrieval-Augmented Generation (RAG), vector databases (e.g., FAISS, Pinecone), multi-agent frameworks, and orchestration tools like LangChain or similar.
Experience with cloud platforms (AWS, GCP, Azure).
Practitioner experienced in applying prompt engineering, fine-tuning, and RAG techniques to real-world business problems using large language models.
Comfortable working in scalable production environments deploying AI models and APIs with performance and reliability accountability.
Experience collaborating within cross-functional teams and translating business requirements into practical Generative AI solutions.