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Fullstack Agentic AI Engineer

GrowthArc

🇺🇸Newark, USseniorhybrid

  • anthropic
  • aws
  • chroma
  • ci/cd
  • context api
  • docker
  • fastapi
  • flask
  • gemini
  • kubernetes
  • langchain
  • llamaindex
  • mongodb
  • neo4j
  • openai
  • pinecone
  • postgresql
  • python
  • qdrant
  • react
  • react hook form
  • redis
  • redux
  • tailwind css
  • typescript
  • weaviate
  • zustand

React ,Python + Agentic AI Engineer | 8–14 Years Experience

Location: Bangalore (Hybrid)/Rest of India - Remote

Experience: 8-14yrs

Notice: Immediate joiners only

If interested, pls send CV at [email protected]

React with Python + Agentic AI EngineerAbout the Role

GrowthArc is looking for a React + AI Engineer with strong frontend expertise and hands-on experience building AI/LLM-powered applications. You will build intelligent web applications, agentic workflows, and scalable AI solutions that solve real business problems.

What You'll Do

  • Build and scale modern React applications with complex workflows, forms, and document management capabilities
  • Develop AI-powered features using LLMs, agents, MCP tooling, and RAG architectures
  • Design and build Python backend services and APIs supporting AI applications
  • Implement multi-agent orchestration, tool routing, and workflow automation
  • Build observability, monitoring, tracing, and evaluation frameworks for AI systems
  • Collaborate with product, design, and engineering teams to deliver production-ready solutions

Tech Stack

Frontend

  • React, TypeScript
  • React Hook Form
  • Redux, Zustand, Context API
  • Tailwind CSS

Backend

  • Python
  • FastAPI / Flask
  • REST APIs
  • PostgreSQL, MongoDB, Redis

AI & Data

  • LangChain, LlamaIndex
  • OpenAI, Anthropic, Gemini
  • Vector Databases (Pinecone, Weaviate, Chroma, Qdrant)
  • RAG, Agentic AI, MCP
  • Neo4j (Good to Have)

Cloud & DevOps

  • AWS
  • Docker
  • Kubernetes
  • CI/CD
  • Observability & Monitoring

Must-Have Skills

  • Strong React and TypeScript development experience
  • Deep understanding of React architecture, performance optimization, and state management
  • Strong Python backend development experience
  • Experience building and deploying AI/LLM-powered applications in production
  • Hands-on experience with Agentic AI, MCP, tool calling, and RAG pipelines
  • Strong API design and system architecture skills
  • Experience with observability, logging, tracing, and AI evaluations

You Are the Right Fit If

  • You can independently architect and build full-stack applications
  • You have shipped AI features into production environments
  • You understand how agents plan, select tools, and execute tasks
  • You can comfortably discuss frontend architecture, backend design, and AI systems
  • You thrive in fast-moving, high-ownership environments
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