Senior Agentic AI Engineer – Python (6+ Years Experience | Remote | Immediate Joiners)

YMinds.AI

Bengaluru, Karnataka, India

About the Role

Our client is seeking a Senior Agentic AI Engineer with strong Python expertise to build and deploy production-grade Agentic AI and Generative AI solutions.

The ideal candidate should have strong hands-on experience with Python, AI Agents, RAG, LLMs, LangGraph/LangChain, APIs, and vector databases, with the ability to design scalable and reliable AI applications.

Key Responsibilities

Build and deploy Agentic AI and Generative AI applications
Develop scalable Python APIs, backend services, and microservices
Build AI agents with tool calling, function calling, planning, reasoning, memory, and multi-step workflows
Design and implement RAG pipelines and retrieval workflows
Develop stateful workflows using LangGraph / LangChain
Integrate agents with APIs, databases, vector stores, enterprise systems, and external tools
Work with OpenAI, Azure OpenAI, Claude, Gemini, AWS Bedrock, and open-source LLMs
Deploy and optimize AI applications on AWS, Azure, or GCP
Implement evaluation, monitoring, observability, guardrails, and production best practices
Optimize applications for performance, latency, reliability, scalability, and cost

Required Skills

6+ years of strong Python experience, including backend development, REST APIs, microservices, FastAPI, and/or Flask
Strong production experience with Agentic AI, AI Agents, tool calling, planning, reasoning, orchestration, memory/state management, and human-in-the-loop workflows
Strong experience with RAG, including ingestion, chunking, embeddings, semantic/vector search, hybrid retrieval, reranking, and hallucination reduction
Experience with OpenAI/GPT, Azure OpenAI, Claude, Gemini, AWS Bedrock, or open-source LLMs
Hands-on experience with LangGraph and/or LangChain
Experience with vector databases such as Pinecone, FAISS, ChromaDB, Weaviate, Qdrant, Milvus, pgvector, Azure AI Search, or OpenSearch
Strong understanding of Prompt Engineering, Context Engineering, structured outputs, function calling, and guardrails
Strong knowledge of REST APIs, SQL/NoSQL, Git, Docker, CI/CD, monitoring, logging, and API security
Experience with AWS, Azure, or GCP
Experience with LLMOps/MLOps and production AI deployments

Nice to Have

Multi-agent systems
Agentic RAG / Advanced RAG
Graph RAG / Knowledge Graphs
AutoGen, CrewAI, or LlamaIndex
MCP (Model Context Protocol)
Kubernetes / Serverless
LLM evaluation and observability
AI guardrails and prompt-injection mitigation
Fine-tuning / LoRA / PEFT

Keywords

Python, Agentic AI, Generative AI, RAG, LLMs, LangGraph, LangChain, FastAPI, Flask, AI Agents, Tool Calling, Function Calling, Vector Databases, Pinecone, FAISS, ChromaDB, Qdrant, pgvector, OpenAI, Azure OpenAI, Claude, Gemini, AWS Bedrock, AWS, Azure, GCP, REST APIs, Microservices, Docker, CI/CD, LLMOps, MLOps

Hashtags

#Python #AgenticAI #GenerativeAI #RAG #LLM #LangGraph #LangChain #FastAPI #AIAgents #VectorDatabase #OpenAI #AzureOpenAI #AWSBedrock #AWS #Azure #GCP #LLMOps #MLOps #AIEngineering #Hiring #YMindsAI

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Questions about this job

How do I apply for the Senior Agentic AI Engineer – Python (6+ Years Experience | Remote | Immediate Joiners) job at YMinds.AI?

Use the apply link on this page: you apply directly with YMinds.AI on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does YMinds.AI want for this Senior Agentic AI Engineer – Python (6+ Years Experience | Remote | Immediate Joiners) role?

The job description asks for 6+ years of strong Python experience, including backend development, REST APIs, microservices, FastAPI, and/or Flask, Strong production experience with Agentic AI, AI Agents, tool calling, planning, reasoning, orchestration, memory/state management, and human-in-the-loop workflows, Strong experience with RAG, including ingestion, chunking, embeddings, semantic/vector search, hybrid retrieval, reranking, and hallucination reduction, Experience with OpenAI/GPT, Azure OpenAI, Claude, Gemini, AWS Bedrock, or open-source LLMs, Hands-on experience with LangGraph and/or LangChain, Experience with vector databases such as Pinecone, FAISS, ChromaDB, Weaviate, Qdrant, Milvus, pgvector, Azure AI Search, or OpenSearch, Strong understanding of Prompt Engineering, Context Engineering, structured outputs, function calling, and guardrails and Strong knowledge of REST APIs, SQL/NoSQL, Git, Docker, CI/CD, monitoring, logging, and API security. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at YMinds.AI?

Apply to the YMinds.AI roles that match your experience, and tailor your resume to each job description: for this role that means showing 6+ years of strong Python experience, including backend development, REST APIs, microservices, FastAPI, and/or Flask, Strong production experience with Agentic AI, AI Agents, tool calling, planning, reasoning, orchestration, memory/state management, and human-in-the-loop workflows, Strong experience with RAG, including ingestion, chunking, embeddings, semantic/vector search, hybrid retrieval, reranking, and hallucination reduction. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Senior Agentic AI Engineer – Python (6+ Years Experience | Remote | Immediate Joiners) job remote or onsite?

This is based in Bengaluru, Karnataka.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with YMinds.AI, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.