Data Driven GenAI Expert
4 days ago
This is a highly sought-after opportunity to leverage the power of Large Language Models (LLMs) and harness their potential in augmenting workflows, knowledge retrieval, incident handling, and developer productivity.
Key Responsibilities:
- Design and optimize prompts for LLM workflows ensuring accuracy and relevance
- Build Retrieval-Augmented Generation (RAG) pipelines using vector databases such as FAISS, Pinecone, Weaviate, and Qdrant
- Integrate LLMs into internal tools, CI/CD, and observability dashboards
- Implement GenAI solutions using LangChain, LlamaIndex, Haystack, and Hugging Face etc.
- Fine-tune open-source or commercial LLMs for domain use cases
- Collaborate with DevOps and platform teams to drive automation with GenAI
- Ensure data privacy, governance, and ethical AI practices
Required Skills and Qualifications:
- 6-10+ years in engineering, with 2+ years hands-on experience in GenAI/LLMs/NLP
- Strong Python skills with experience in LangChain, Hugging Face, and LlamaIndex
- Deep knowledge of vector databases and embeddings
- Proven experience designing and deploying RAG architectures
- Experience integrating LLM APIs
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