AI Engineer

Job highlights

• Location : South Delhi,New Delhi. PQE -: 1-2 Years. Employment Type : Full-time. Education : Bachelor s or Master s degree in Computer Science,AI,Data Science,or related field. Key Responsibilities
• Experience with cloud platforms (AWS,Azure,or GCP). Understanding of AI deployment,containerization,and model APIs.
• SKILLS REQUIRED

JOB DESCRIPTION

• Designation: AI Engineer

• Location: South Delhi, New Delhi

• PQE-: 1-2 Years

• Employment Type: Full-time

• Education: Bachelor s or Master s degree in Computer Science, AI, Data Science, or related field

Key Responsibilities

• Develop and implement AI-powered applications using Large Language Models (LLMs) and frameworks such as Lang Graph and Claude Agent SDK and LLAMA Index.

• Design and optimize prompt engineering workflows using models such as Claude 4.x and ChatGPT.

• Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.

• Integrate AI models with SQL databases and enterprise data sources.

• Develop backend services and automation scripts using Python.

• Work with AI development tools such as GitHub Copilot, Cursor AI, and ChatGPT to accelerate development.

• Build APIs using Fast API and services that integrate AI models with enterprise applications.

• Optimize AI pipelines for performance, scalability, and cost efficiency.

• Collaborate with product managers and developers to design AI-enabled features.

• Stay updated with the latest developments in Generative AI, LLMs, and AI tooling.

Good to Have

• Experience with Lang Chain, LlamaIndex, or similar AI frameworks

• Exposure to embedding models and semantic search

• Experience with cloud platforms (AWS, Azure, or GCP)

• Understanding of AI deployment, containerization, and model APIs

SKILLS REQUIRED

• 1 2 years of experience in AI/ML or Generative AI development

• Strong programming skills in Python

• Hands-on experience working with LLMs (LLAMA, Claude, ChatGPT or similar)

• Experience working with vector databases (such as Chroma DB, Qdrant, FAISS, etc.)

• .NET MVC framework

• Experience integrating AI models with SQL databases

• Understanding of RAG (Retrieval Augmented Generation) architecture

• Experience with prompt engineering and LLM fine-tuning concepts

• Familiarity with REST APIs and backend integration

• Experience using AI-assisted development tools such as Copilot, Cursor AI, or ChatGPT