Senior Full Stack Engineer

Tredence Inc.; Bengaluru; Hybrid; INR 2,000,000 - 3,500,000; Full time

Job summary

Tredence Inc. is seeking a skilled Full Stack Developer to design and deploy AI-powered web applications. You will work across backend Python services with FastAPI and frontend React.js, while integrating Agentic AI frameworks and various LLMs. The role is hybrid in Bangalore with opportunities to shape enterprise-grade solutions.

You will collaborate with product and data science teams to translate requirements into scalable systems, ensuring performance, security, and reliability in production.

Qualifications

• Proficient in Python with strong backend experience.
• Experience building scalable APIs using FastAPI or similar frameworks.
• Frontend proficiency with React.js and modern JS/TS tooling.
• Knowledge of RESTful API design and microservices patterns.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Familiarity with AI-powered applications and LLM integrations.

Responsibilities

• Design and develop scalable backend services using Python and FastAPI.
• Build responsive front-ends with React.js and modern UI patterns.
• Develop Agentic AI solutions using LangChain, LangGraph and related tools.
• Integrate LLMs (Azure OpenAI, OpenAI, Claude, Gemini) into apps.
• Implement REST APIs, microservices, and vector DB-based RAG apps.
• Collaborate with product, data science, and business teams.

Skills

Python

FastAPI

React.js

REST API design

JavaScript

TypeScript

Tools

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Azure OpenAI

OpenAI APIs

Job description

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