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AI Engineer-(Fullstack-Python, Node, React/Angular)-Immediate

Exclusive opportunity

Hybrid

AI Engineer-(Fullstack-Python, Node, React/Angular)-Immediate

Kezan Consulting

AI Engineer-(Fullstack-Python, Node, React/Angular)-Immediate

Skills

Google Cloud PlatformDockerReactNodePythonMicroservicesAIAWSKubernetesAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,800,000 – ₹2,250,000 / year

Location:

Gurugram, Haryana, India

Work mode:

Hybrid

Published on:

17 August 2026

What they need


AI Engineer 5+ Years

Location: Gurgaon / Hybrid Experience: 5+ Years Joining: Immediate / 15 Days Preferred

Must Have Skills

  • Python
  • Node.js
  • Large Language Models (LLM)
  • Retrieval-Augmented Generation (RAG)

Good to Have

  • React.js or Angular

Job Description

We are looking for a skilled AI Engineer with 5+ years of experience in building intelligent applications using LLM and RAG architectures. The ideal candidate should have strong hands-on expertise in Python and Node.js, along with experience integrating AI models into scalable production systems.

Key Responsibilities

  • Design and develop AI-powered applications using LLM, RAG, and vector databases.
  • Build backend services and APIs using Python and Node.js.
  • Implement document ingestion, chunking, embeddings, retrieval, and prompt orchestration pipelines.
  • Integrate AI solutions with web applications and enterprise systems.
  • Optimize model performance, response quality, latency, and scalability.
  • Collaborate with frontend developers (React/Angular) and cross-functional teams for end-to-end delivery.
  • Follow best practices for testing, deployment, monitoring, and security of AI applications.

Required Qualifications

  • 5+ years of software development experience.
  • Strong proficiency in Python and Node.js.
  • Hands-on experience with LLMs (OpenAI, Claude, Gemini, Llama, etc.).
  • Experience building RAG-based applications using vector databases such as Pinecone, Qdrant, Chroma, or FAISS.
  • Good understanding of APIs, microservices, and cloud-native application development.
  • Familiarity with prompt engineering, embeddings, and AI application evaluation.

Preferred

  • Experience with React.js or Angular.
  • Exposure to Docker, Kubernetes, CI/CD, and cloud platforms (AWS/Azure/GCP).

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