GEN AI Engineer

**Role & responsibilities** **Generative & Agentic AI Engineer** **Role summary** You will design and ship **GenAI** capabilities and **agentic AI** workflowsgrounded in **NLP/Transformers**—including **RAG** systems and advanced **multiagent** patterns. You’ll build safe, observable, and costaware LLM solutions on **AWS/Azure**, integrating with product backends and enterprise data. **Key responsibilities** - Build **GenAI** services with robust **prompt**/tool use, function calling, and **workflow orchestration**; implement caching, retries, and token/cost controls. - Implement **RAG pipelines** (indexing, chunking, embeddings, rerankers) and evaluate retrieval/answer quality; progress to **advanced agentic** patterns (multitool, multistep, multiagent). - Apply **NLP/Transformer** techniques (finetuning, adapters/LoRA, distillation) when justified by business and data constraints. - Engineer production **Python** services/APIs; integrate vector stores (FAISS, Pinecone), LangChain/LlamaIndex, streaming, and guardrails. - Operate solutions on **AWS/Azure** with proper observability, security, and governance hooks. **Musthave skills** - **GenAI** foundations (LLMs, embeddings, prompting) - **Transformers** (Hugging Face ecosystem, finetuning strategies) - **NLP** applied skills (text processing, evaluation metrics) - **RAG / advanced agentic AI** design and implementation - **Python**, **AWS/Azure** - **API development** for modelbacked experiences Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.