Job Description:

We are looking for an experienced AI Engineer with solid expertise in Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI systems. The ideal candidate will design, build, and deploy intelligent applications powered by LLMs, integrating structured and unstructured data sources to deliver scalable AI-driven solutions.

Key Responsibilities:
Design and develop RAG-based applications integrating LLMs with enterprise data sources
Build and orchestrate Agentic AI systems for task automation and decision-making workflows
Develop pipelines for data ingestion, embedding, indexing, and retrieval
Integrate LLM APIs (OpenAI, Azure OpenAI, etc.) into scalable applications
Optimize prompts, context handling, and model performance
Implement vector databases and semantic search solutions
Collaborate with product, engineering,



and data teams to deliver AI use cases
Ensure scalability, reliability, and performance of AI systems
Stay updated with latest advancements in Generative AI

Required Skills:
Solid programming experience in Python
Hands-on experience with LLMs and Generative AI frameworks
Expertise in RAG architectures (retrieval, embeddings, vector search)
Experience building Agent-based workflows / multi-agent systems
Familiarity with frameworks like LangChain, LlamaIndex, Semantic Kernel
Experience with vector databases (Pinecone, FAISS, Weaviate, etc.)
Solid understanding of APIs, microservices, and system design
Experience with REST APIs and integration patterns

📌 Gen Ai Developer Bengaluru
🏢 IntraEdge Technology
📍 Bengaluru