JavaScript AI Developer / Full-Stack AI Engineer

Implere tech

Hyderabad

On-site

INR 900,000 - 1,300,000

Full time

14 days+
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Job summary

Implere tech is seeking a JavaScript / Full-Stack Developer with hands-on GenAI experience to build intelligent and scalable applications.

You will work across frontend and backend stacks, integrating AI APIs and building robust RESTful services. You should be proficient in JavaScript with React.js or Node.js, Express.js, and have experience with authentication, RBAC, API security, testing and deployment. Excellent problem-solving and communication skills are essential.

Qualifications

  • Proficient in JavaScript and modern frontend frameworks (React) and backend with Node.js/Express.
  • Hands-on experience integrating GenAI / LLMs and AI APIs (OpenAI, Gemini, Claude).
  • Knowledge of authentication, RBAC, API security, and secure REST services.
  • Familiarity with prompt engineering, function calling, and structured outputs.

Skills

JavaScript
React.js
Node.js
Express.js
REST APIs
GenAI
LLMs
RAG
AI Agents
prompt engineering
structured outputs
authentication
RBAC
API security
Git
debugging
testing
deployment
communication skills
problem-solving

Tools

OpenAI API
Gemini API
Claude API

Job description

We’re looking for a JavaScript / Full-Stack Developer with hands-on GenAI experience to build intelligent and scalable applications.

What We’re Looking For
  • Strong experience with JavaScript
  • Hands-on experience with React.js or Node.js
  • Experience with Express.js, REST APIs & backend development
  • Practical experience with GenAI, LLMs, RAG, AI Agents or LLM orchestration
  • Experience integrating AI APIs such as OpenAI, Gemini, Claude, or similar
  • Knowledge of prompt engineering, function calling & structured outputs
  • Understanding of databases, authentication, RBAC & API security
  • Good knowledge of Git, debugging, testing & deployment
  • Strong problem-solving and communication skills
Good to Have
  • LangChain, LangGraph, LlamaIndex or similar frameworks
  • Vector databases such as Pinecone, Qdrant, Weaviate or pgvector
  • SSE/WebSockets & streaming AI responses
  • Kore.ai or other conversational AI platforms
  • Experience with SaaS / enterprise applications
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