Python Agentic AI Developer - Generative AI

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 modern 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.