OpenOpportunity Sourced Jobs — Hyderabad
Full Time · On Site · Entry Level
Role: Software Development - Other | Department: Engineering - Software & QA | Industry: IT Services & Consulting | Education: UG: B.Tech / B.E. in Any Specialization PG: MCA in Any Specialization, M.Tech in Any Specialization NOTE: Based on your performance, you will be eligible for payment after the successful completion of the three-month internship. About the Role We're building a high-performance chat platform and seeking an AI/GenAI Engineer to lead the integration and optimization of Large Language Models (LLMs). You'll design intelligent chat pipelines, fine-tune models for domain use cases, and collaborate with our React and Python teams to deliver real-time, high-quality AI experiences at scale. Required Skills & Experience Hands-on experience with LLMs and GenAI (OpenAI, Claude, Gemini, etc.). Strong in Python, especially FastAPI, LangChain, LlamaIndex. Experience with RAG, vector databases, prompt tuning, and fine-tuning (LoRA/PEFT). Familiar with embedding models, semantic search, and function calling/tool use. Solid understanding of transformer models, inference frameworks, and logging. Note: The posting's own title is "AI/GenAI Engineer_Unpaid internship," and its opening line states plainly that the candidate "will be eligible for payment after the successful completion of the three-month internship" - i.e., three months of unpaid work as a precondition for any pay at all, for a role described as leading LLM integration and fine-tuning work. Despite this, the structured Employment Type field reads "Full Time, Permanent," directly contradicting both the unpaid-internship framing in the title and the conditional-payment language in the body. The technical content itself (LangChain, LlamaIndex, RAG, LoRA/PEFT) is genuinely relevant to the search.
generative ai, Chatbot, LLM, Retrieval Augmented Generation, Machine Learning