Found Description
What You'll Be Doing:
- Support building end-to-end GenAI applications such as chatbots, voicebots, Talk-to-Data systems, including data ingestion, retrieval layer, orchestration (e.g., LangChain/LlamaIndex/LangGraph), API/backend, and simple UI where needed.
- Implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness.
- Perform model selection, prompting strategies, and finetuning (LoRA/QLoRA/SFT) for text, code, and multimodal models, including guardrails, output evaluation and A/B testing.
- Integrate and optimize LLM interactions with external tools, APIs, and data sources in a standardized and scalable way using Model Context Protocol (MCP) connectors.
- Apply business understanding to translate problems into technical goals by defining tasks, auditing data feasibility, and highlighting issues.
- Support project delivery.