Generative AI Engineer - Immediate Joiners

Role Overview

We are seeking a highly skilled professional to design, develop, and deploy Generative AI solutions leveraging Large Language Models (LLMs). The ideal candidate will have strong technical expertise in AI engineering, Python programming, API development, and cloud integration, combined with excellent communication skills for cross-functional collaboration.

Key Responsibilities

• Design and implement Generative AI solutions using LLMs.
• Develop and optimise Retrieval-Augmented Generation (RAG) workflows and prompt engineering strategies.
• Build and maintain APIs for AI-driven applications.
• Integrate AI solutions with cloud platforms and DevOps pipelines.
• Collaborate with stakeholders to ensure clarity in requirements and deliverables.
• Stay updated on emerging AI technologies and best practices.

Technical Competencies (Mandatory Skills)

1. Generative AI & LLM

• Strong familiarity with Generative AI ecosystem and LLM models.
• Hands-on experience with

  RAG workflows

  and

  prompt engineering techniques

  .

2. Python Proficiency

• Advanced Python programming skills.
• Experience with libraries relevant to Generative AI such as

  LangChain

  and

  LangGraph

  .

3. API Development

• Proven experience with API development frameworks like

  FastAPI

  ,

  Django REST

  , or

  Flask

  .

4. Cloud & DevOps Integration

• Practical exposure to

  AIOps

  and

  DevOps tools and practices

  .
• Hands-on experience with

  Azure AI services

  .

Collaboration Metrics

• Excellent communication skills with the ability to convey complex technical concepts clearly and professionally.

Mandatory Skills:

• Generative AI ecosystem & LLM models
• RAG workflow & prompt engineering
• Advanced Python with LangChain/LangGraph
• API development (FastAPI/Django REST/Flask)
• AIOps, DevOps tools, and Azure AI services

Preferred Qualifications

• Bachelors/Masters degree in Computer Science, AI, or related field.
• Prior experience in deploying AI solutions in production environments.
• Knowledge of MLOps and CI/CD pipelines.