21 Sep
|
Evnek
|
Bengaluru
- We are seeking a highly skilled Generative AI (GenAI) Engineer with 4-12 years of overall technology experience and solid hands-on expertise in building and deploying production-grade GenAI solutions.
- The ideal candidate should have experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, AI Agents, Python, Prompt Engineering, LangChain, LangGraph, embeddings, semantic search, and vector databases.
- The role involves designing end-to-end GenAI solutions, developing RAG pipelines and AI agents, integrating models such as OpenAI/Azure OpenAI, Claude, Gemini, and Llama, and building AI services using Python and FastAPI/Flask.
- The candidate will work with vector databases such as Pinecone, FAISS, Chroma, Weaviate, or Azure AI Search and deploy scalable AI applications on Azure, AWS, or GCP.
- Responsibilities also include LLM evaluation, guardrails, monitoring, security, responsible AI, performance optimization,
and taking GenAI solutions from POC to production.
- Skills : - Generative AI, GenAI, GenAI Engineer, Generative AI Engineer, LLM, Large Language Models, RAG, Retrieval-Augmented Generation, Agentic AI, AI Agents, Multi-Agent Systems, Prompt Engineering, LangChain, LangGraph, LlamaIndex, Semantic Kernel, Python, FastAPI, Flask, REST API, Embeddings, Vector Search, Semantic Search, Vector Database, Pinecone, FAISS, Chroma, Weaviate, Azure AI Search, OpenAI, Azure OpenAI, Claude, Gemini, Llama, AWS Bedrock, Google Vertex AI, LLM Evaluation, Guardrails, LLMOps, MLOps, AI Observability, Responsible AI, LLMs, RAG, Agentic AI, AI Agents, Python, Prompt Engineering, LangChain/LangGraph, Vector Databases, Embeddings, Semantic Search, FastAPI/Flask, REST APIs, Azure OpenAI/AWS Bedrock/Google Vertex AI, Docker, Git, CI/CD
📌 Generative AI Engineer (Bengaluru)
🏢 Evnek
📍 Bengaluru