About the Role :We are looking for an experienced Python Generative AI Developer / Agentic AI Engineer / AI Architect with strong expertise in Python, Agentic AI, AWS, FastAPI, and Retrieval-Augmented Generation (RAG). The ideal candidate will be responsible for designing, developing, and deploying scalable AI-powered applications and intelligent agent-based solutions using modern generative AI technologies and cloud-native architectures.Key Responsibilities :- Design, develop, and deploy Generative AI applications using Python and up-to-date AI frameworks.- Build Agentic AI solutions capable of planning, reasoning, tool usage, and executing multi-step workflows.- Develop and integrate AI agents with enterprise applications, APIs, databases, and external tools.- Design and implement Retrieval-Augmented Generation (RAG) pipelines for context-aware and knowledge-driven AI applications.- Develop scalable backend services and RESTful APIs using FastAPI.- Build, deploy, and manage AI applications on AWS cloud services.- Integrate Large Language Models (LLMs) with enterprise data sources and business workflows.- Implement prompt engineering, context management, and response optimization techniques.- Develop document ingestion, chunking, embedding, retrieval, and vector search pipelines.- Design secure, scalable, and production-ready AI architectures.- Optimize AI application performance, latency, scalability, and cost.- Implement logging, monitoring, evaluation, and error-handling mechanisms for AI systems.- Collaborate with data scientists, software engineers, architects,



and business stakeholders to translate business requirements into AI-driven solutions.- Follow best practices for application security, responsible AI, testing, and deployment.Required Skills and Qualifications:- 6 - 12 years of relevant professional experience in software development, AI engineering, or solution architecture.- Strong programming expertise in Python.- Hands-on experience in Generative AI and Large Language Models (LLMs).- Practical experience designing and implementing Agentic AI applications and workflows.- Strong experience with AWS cloud services for deploying and managing AI applications.- Hands-on experience building APIs and backend services using FastAPI.- Strong understanding of Retrieval-Augmented Generation (RAG) architecture and implementation.- Experience integrating LLMs with enterprise systems, APIs, and external data sources.- Knowledge of embeddings, vector databases, semantic search, and information retrieval.- Understanding of prompt engineering, LLM orchestration, and AI application development.- Experience with REST APIs, application integration, testing, and deployment.- Strong analytical, problem-solving, and communication skills.Preferred Skills:- Experience with AI agent frameworks such as LangChain, LangGraph, or AutoGen.- Familiarity with Amazon Bedrock and AWS AI/ML services.- Experience with vector databases such as FAISS, Pinecone, Weaviate, or Chroma.- Knowledge of Docker, Kubernetes, CI/CD, and cloud-native deployment practices.- Experience implementing LLM evaluation, guardrails, observability, and security controls.- Familiarity with MLOps or LLMOps practices for deploying and maintaining AI solutions.- Experience designing enterprise-grade AI architectures and scalable distributed systems. (ref:hirist.tech)

📌 Python Agentic AI Developer - Generative AI (Mumbai)
🏢 Black And White Business Solutions
📍 Mumbai