Generative AI Engineer
Experience: 4–12 Years
Location: Bengaluru
Notice Period: Immediate Joiners Only
Employment Type: Full time

Job Description
We are looking for a highly skilled Generative AI Engineer with hands-on experience in building and deploying production-grade GenAI solutions. The ideal candidate should have strong expertise in LLMs, RAG, Agentic AI, AI Agents, Python, prompt engineering, and vector databases.

Key Responsibilities
Design, develop, and deploy end-to-end Generative AI solutions for enterprise use cases.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
Develop LLM workflows, AI Agents, and Agentic AI solutions.
Work with LLMs such as OpenAI/Azure OpenAI, Claude, Gemini, Llama, or equivalent models.
Design effective prompt engineering strategies and optimize LLM responses.
Implement document ingestion, chunking, embeddings, retrieval, reranking, and response-generation pipelines.
Develop APIs and AI services using Python and FastAPI/Flask.
Work with Vector Databases such as Pinecone, FAISS, Chroma, Weaviate, or Azure AI Search.




Integrate GenAI solutions with enterprise data sources, applications, databases, and APIs.
Implement LLM evaluation, guardrails, monitoring, security, and responsible AI practices.
Deploy and manage GenAI applications on Azure, AWS, or GCP.
Optimize AI solutions for accuracy, scalability, latency, reliability, and cost.
Collaborate with business stakeholders, architects, data engineers, and AI teams to deliver production-ready solutions.

Required Skills
4–12 years of overall technology experience with strong hands-on experience in Generative AI.
Strong programming expertise in Python.
Hands-on experience with LLMs, RAG, Prompt Engineering, AI Agents, and Agentic AI.
Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks.
Strong understanding of embeddings, vector search, semantic search, and vector databases.
Experience integrating LLM APIs and enterprise data so

📌 Generative AI Engineer (Bengaluru)
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