About the Role
Our client is seeking an AI-focused Developer with robust hands-on experience in Generative AI, LLM-based application development, and Agentic AI solutions .
The ideal candidate will have robust expertise in Python or TypeScript, RESTful APIs, LLM orchestration frameworks, vector databases, prompt engineering, cloud AI platforms, and scalable microservices architecture .
Candidates should have practical experience building and deploying real-world Agentic AI solutions. Profiles with only theoretical knowledge, training, certifications, or proof-of-concept exposure in Agentic AI will not be considered.

Key Responsibilities
Design, develop, implement, and deploy Agentic AI applications and autonomous AI workflows .
Build production-ready Generative AI and LLM-powered applications .
Develop scalable backend services using Python or TypeScript .
Design and integrate RESTful APIs, GraphQL APIs, and microservices .
Build LLM workflows using LangChain, LlamaIndex, LangGraph, or similar orchestration frameworks .
Develop AI agents capable of tool calling,



API integration, planning, memory, reasoning, retrieval, and multi-step task execution .
Implement prompt-engineering techniques such as zero-shot prompting, few-shot prompting, structured outputs, and function/tool calling .
Integrate vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate .
Work with embeddings, transformers, NLP pipelines, semantic search, retrieval mechanisms, and contextual data .
Build and integrate RAG-based applications and enterprise knowledge assistants .
Deploy AI applications using AWS Bedrock, SageMaker, Google Vertex AI, Azure OpenAI, or similar cloud platforms .
Monitor, troubleshoot, and optimize Agentic AI and LLM applications for performance, accuracy, reliability, scalability, latency, and cost .
Implement version control and deployment workflows using Git and CI/CD pipelines .
Create explicit technical documentation for application archit

📌 Agentic Ai Engineer Bengaluru
🏢 YMinds.AI
📍 Bengaluru