Full Stack Developer - AI (React / Node.js / Python)

Concept To Code Technologies; Dehradun; Hybrid; INR 600,000 - 900,000; Full time

Benefits offered by this job

Flexible learning

Job summary

Concept To Code Technologies is seeking an AI Full Stack Developer to design, build, and maintain AI-powered web applications. You will merge AI engineering with full stack development, integrating AI models into real business products, and ensuring reliability, security, and scalability.

You will collaborate across PMs, designers, and clients to convert business requirements into working software, while optimizing AI cost and performance.

Qualifications

• Education: B.Tech/M.Tech/MCA in CS, IT, or related field (portfolio can substitute).
• Strong frontend and backend stack experience with modern JS frameworks.
• Hands-on AI/LLM work with OpenAI/Claude/Gemini APIs and embeddings.
• Experience with vector databases and cloud platforms; DevOps basics required.

Responsibilities

• Design, build, and maintain AI-powered web apps across frontend and backend.
• Integrate AI models via LLM APIs, prompts, and embeddings; ensure reliability.
• Develop AI features and multi-step workflows with tool calls and memory.
• Build conversational/voice AI solutions and manage production cost/data usage.
• Design REST/GraphQL APIs, deploy cloud-native apps on AWS/Azure/GC, and implement CI/CD.
• Collaborate with UI/UX, designers, and clients to translate requirements into software.
• Write clean, secure code and maintain technical docs; stay updated on AI ecosystem.

Skills

React.js

Next.js

JavaScript/TypeScript

HTML5

CSS3

Tailwind CSS

Node.js

Express/NestJS

Python

FastAPI/Django/Flask

OpenAI API

Claude API

Gemini API

prompt engineering

function calling

embeddings

pgvector

Pinecone

Qdrant

Weaviate

ChromaDB

PostgreSQL

MySQL

MongoDB

Supabase

Redis

AWS

Docker

Git

CI/CD

RESTful APIs

GraphQL

Webhooks

WebSockets

LangChain

LangGraph

LlamaIndex

CrewAI

OpenAI Agents SDK

Model Context Protocol

Twilio

speech-to-text

text-to-speech

n8n

Make

Zapier

Go HighLevel

Llama

Mistral

Qwen

Hugging Face

Ollama

PyTorch

TensorFlow

CRM & ERP development

Education

B.Tech/M.Tech/MCA in Computer Science, IT, or related field

Tools

LangChain

LangGraph

LlamaIndex

Job description

JOB DESCRIPTION

Concept to Code is a leading software development company with a strong global presence, delivering cutting-edge technology solutions. We specialize in Web Development, IT Consulting, Custom Software Development, AI/ML Solutions, Cloud Computing, and IT Outsourcing Services. Today, AI sits at the core of everything we build, from AI voice agents and intelligent CRM automation to LLM-powered SaaS products used by clients worldwide.

Job Title: AI Full Stack Developer (AI Engineer + Full Stack)

Department: IT AI & Product Engineering

Reporting to: Project Manager

Job Location: Dehradun

Experience: 01 year (Freshers with outstanding knowledge are welcome)

Job Purpose:

We are looking for an AI Full Stack Developer to design, build, and maintain AI-powered web applications. This role combines full stack development with practical AI engineering. You will develop front-end and back-end systems, integrate AI models into real business products, and make sure every solution is reliable, secure, and scalable. You will work closely with project managers, designers, and clients to turn business requirements into working software.

Key Responsibilities:

AI Engineering

• Design and build AI features using LLM APIs (OpenAI, Anthropic Claude, Google Gemini) and open-source models.
• Build AI agents and multi-step workflows with tool/function calling, memory, and external system integrations (MCP, LangChain, LangGraph, or similar).
• Develop RAG (Retrieval-Augmented Generation) pipelines: document ingestion, chunking, embeddings, vector search, and grounded answers.
• Write, test, and version prompts; build evaluation (evals) to measure accuracy, and reduce hallucinations.
• Build conversational and voice AI solutions (chatbots, AI calling agents) using tools like Twilio, Vapi, Retell, ElevenLabs, or similar.
• Monitor and optimize AI cost, latency, and token usage in production.

Full Stack Development

• Design, develop, and optimize web applications based on functional requirements.
• Build and integrate REST/GraphQL APIs, webhooks, and third-party platforms (CRMs, payment gateways, messaging).
• Collaborate with UI/UX designers to deliver clean, responsive interfaces.
• Develop and deploy cloud-native applications on AWS, Azure, or Google Cloud.
• Apply DevOps practices: CI/CD pipelines, Docker, and automated deployments.
• Debug, troubleshoot, and improve existing applications.
• Write clean, secure, maintainable code and clear technical documentation.

Ownership & Delivery

• Validate project feasibility in terms of technical, budget, and timeline constraints, and propose smarter AI-first alternatives.
• Use AI coding assistants (Claude Code, Cursor, GitHub Copilot) to speed up delivery, while owning code quality and review.
• Stay current with the fast-moving AI ecosystem and bring practical new ideas to the team.

Required Skills & Qualifications:

• Education: B.Tech/M.Tech/MCA in Computer Science, IT, or related field (strong portfolio can substitute).
• Frontend: React.js / Next.js, JavaScript/TypeScript (ES6+), HTML5, CSS3, Tailwind CSS.
• Backend: Node.js (Express/NestJS) and Python (FastAPI/Django/Flask).
• AI/LLM: Working knowledge of OpenAI / Claude / Gemini APIs, prompt engineering, function calling, and embeddings, shown through personal, academic, internship, or professional projects.
• Vector Databases: pgvector, Pinecone, Qdrant, Weaviate, or ChromaDB.
• Databases: PostgreSQL, MySQL, MongoDB, Supabase/Firebase, Redis.
• Cloud & DevOps: AWS (EC2, Lambda, S3, RDS), Docker, Git, CI/CD.
• Integrations: RESTful APIs, GraphQL, Webhooks, WebSockets.

Good to Have:

• AI agent frameworks: LangChain, LangGraph, LlamaIndex, CrewAI, OpenAI Agents SDK, or Model Context Protocol (MCP).
• Voice AI and telephony: Twilio, speech-to-text, text-to-speech.
• Automation platforms: n8n, Make, Zapier, Go HighLevel.
• Fine-tuning or running open-source models (Llama, Mistral, Qwen) via Hugging Face or Ollama.
• ML fundamentals: PyTorch/TensorFlow, basic model training and evaluation.
• Experience in CRM & ERP development.

What We Value More Than Keywords:

• You have built a working AI project (personal, academic, internship, or professional). Share the link or GitHub repo.
• You can explain when NOT to use an LLM.
• You learn new tools in days, not months.

Why Join Us?

• Explore new career opportunities with us and grow into a strong AI engineering career.
• Work on real AI products: voice agents, AI automation, and LLM-powered SaaS for global clients.
• Access to the latest AI tools and models as part of your daily workflow.
• Collaborative and growth-oriented work culture.
• Competitive salary and benefits package.
• Continuous learning through workshops, certifications, and hands‑on AI projects.

Join us and be part of our mission to build scalable, intelligent, and AI-first software solutions!