Full Stack AI Engineer

NEC Corporation; Dadri; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

NEC Corporation in India is seeking a passionate Full Stack AI Engineer to build AI-powered applications, integrate LLMs, and orchestrate agent-based workflows. The role spans AI orchestration, backend development, and modern web UI development with a focus on delivering production-ready prototypes.

The ideal candidate will have hands-on experience with LangGraph, LangChain, CrewAI, AutoGen, or similar agent frameworks, as well as strong Python/FastAPI backend skills and React-based frontend

Qualifications

• 2–4 years of software development experience.
• Hands-on experience building AI-powered apps with LLMs.
• Ability to work in a fast-paced innovation environment.

Responsibilities

• Design and develop AI-powered applications using LLMs and agent frameworks.
• Build AI agents and orchestrate agent workflows with LangGraph/LangChain.
• Develop backend services using Python and FastAPI.
• Create responsive web interfaces with React.
• Collaborate with product teams to translate requirements into AI solutions.
• Participate in testing, reviews, and deployments.
• Stay updated with emerging AI and agentic technologies.

Skills

LangGraph

LangChain

CrewAI

AutoGen

LLMs

Prompt Engineering

Python

FastAPI

REST APIs

PostgreSQL

MongoDB

Vector Databases

React

JavaScript/TypeScript

API Integration

Problem Solving

Education

Bachelors or Masters in Computer Science or related field

Tools

PostgreSQL

MongoDB

Vector Databases

Job description

Role Overview

We are looking for a passionate Full Stack AI Engineer with hands‑on experience in building AI-powered applications and agent‑based solutions. The ideal candidate should have demonstrated experience developing AI prototypes, PoCs, or production solutions leveraging LLMs and agent frameworks. The role involves working across AI orchestration, backend development, and modern web UI development.

Key Responsibilities

• Design and develop AI-powered applications using LLMs and Agentic AI frameworks.
• Build, orchestrate, and optimize AI agents using frameworks such as LangGraph, LangChain, and related ecosystems.
• Develop demonstrable prototypes and solutions utilizing agent workflows, RAG, tool calling, and multi-step reasoning.
• Develop scalable backend services and APIs using Python and FastAPI.
• Integrate LLMs, vector databases, external APIs, and enterprise systems.
• Design and develop responsive web applications using React.
• Collaborate with architects and product teams to translate business requirements into AI-driven solutions.
• Participate in solution design, code reviews, testing, and deployment activities.
• Stay updated with emerging AI, LLM, and Agentic AI technologies

Required Skills & Experience

• AI And Agent Development
  • Hands‑on experience with LangGraph, LangChain, CrewAI, AutoGen, or similar agent frameworks.
  • Proven experience in developing and demonstrating AI agents, agentic workflows, or AI-powered applications.
  • Good understanding of LLMs, Prompt Engineering, RAG, Tool Calling, Memory Management, and Agent Orchestration.
  • Experience integrating models from OpenAI, Azure OpenAI, Anthropic, Bedrock, or equivalent platform
• Backend Development
  • Strong proficiency in Python.
  • Experience building RESTful APIs using FastAPI.
  • Familiarity with database technologies such as PostgreSQL, MongoDB, or vector databases.
  • Understanding of application security, performance optimization, and API design best practices
• Frontend Development
  • Hands‑on experience with React.
  • Good knowledge of JavaScript/TypeScript, state management, and API integration.
  • Experience building responsive and user-friendly interfaces
• Candidate Profile
  • 2-4 years of software development experience.
  • Demonstrated ability to independently build working AI solutions or agent-based prototypes.
  • Strong problem-solving and analytical skills.
  • Ability to work in a fast‑paced innovation environment.
  • Excellent communication and collaboration skills

Ideal Candidate

An engineer who has built and demonstrated AI-powered applications using LLMs and agent frameworks, possesses strong Python/FastAPI backend skills, and can develop intuitive React-based user interfaces to deliver end‑to‑end AI solutions.

Preferred Skills

• Exposure to Agentic AI platforms and multi‑agent architectures.
• Experience with vector databases such as Pinecone, Chroma, FAISS, or Weaviate.
• Familiarity with Docker, Git, and CI/CD practices.
• Understanding of cloud-native application development is advantageous but not mandatory

Educational Qualification

• Bachelors or Masters degree in Computer Science, Information Systems, or related field.