Senior Full Stack Engineer
Tredence · Bangalore
Source and collection record
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Employer requisition: 902892
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Collected role description
Full Stack Developer - Python, FastAPI, React & Agentic AI Location: Bangalore / Hybrid Job Summary: We are looking for a highly skilled Full Stack Developer with strong expertise in Python, FastAPI, React.js, and Agentic AI frameworks to design, develop, and deploy scalable AI-powered applications. The ideal candidate should have hands-on experience building end-to-end web applications, integrating Large Language Models (LLMs), developing intelligent AI agents, and delivering enterprise-grade solutions. Key Responsibilities: Design and develop scalable backend services using Python and FastAPI . Build responsive and user-friendly front-end applications using React.js . Develop, deploy, and optimize Agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar . Integrate and work with LLMs including Azure OpenAI, OpenAI, Claude, Gemini, or Llama models . Design and implement REST APIs and microservices architecture. Build Retrieval Augmented Generation (RAG) applications using vector databases. Integrate AI agents with enterprise systems, databases, and third-party APIs. Collaborate with product, data science, and business teams to translate requirements into technical solutions. Ensure application performance, security, scalability, and reliability. Participate in code reviews, testing, deployment, and production support activities. Required Skills: Backend Strong proficiency in Python Experience with FastAPI , Flask, or Django REST API development and microservices architecture Database expertise in PostgreSQL, MySQL, MongoDB API security, authentication, and authorization Frontend Strong experience in React.js JavaScript (ES6+), TypeScript HTML5, CSS3, Bootstrap, Material UI State management using Redux/Context API Agentic AI & GenAI Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel Experience building AI Agents and Multi-Agent Systems Prompt Engineering and Agent Orchestration RAG implementation and Vector Databases Experience with Azure OpenAI/OpenAI APIs Knowledge of embeddings, fine-tuning concepts, and AI workflows Cloud & DevOps Azure, AWS, or GCP Docker and Kubernetes CI/CD pipelines Git/GitHub/Azure DevOps Preferred Qualifications: Experience building enterprise GenAI applications. Knowledge of MLOps concepts and AI model deployment. Exposure to Azure AI Foundry, AI Search, or equivalent AI platforms. Strong problem-solving and stakeholder management skills. Bachelor's or Master's degree in Computer Science or related field. Nice to Have: Experience with Graph databases (Neo4j) Knowledge of MCP (Model Context Protocol) Exposure to AI observability and monitoring tools Experience in cloud-native application development
Collected experience requirement
4 - 8 Years