Gen AI Engineer

Tekskills; Ahmedabad District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Tekskills in Ahmedabad, India is seeking a Generative AI Developer to design, build, and deploy scalable AI applications using LLMs, RAG, and cloud-based solutions.

You will create RESTful APIs with FastAPI, integrate with Azure AI services, and implement CI/CD pipelines and Docker-based delivery, working with cross‑functional teams.

Required: strong Python and SQL skills, OOP, experience with FastAPI, LLMs/RAG, Azure, Git, and a solid grasp of DevOps and system design.

Qualifications

• Strong Python and SQL skills with solid OOP background.
• Experience building RESTful APIs with FastAPI.
• Hands-on with LLMs, RAG, and prompt engineering.
• Experience with Azure AI services and cloud deployment.
• Familiar with CI/CD pipelines and Docker.
• Proficient in Git and version control workflows.

Responsibilities

• Design, develop, and deploy Generative AI solutions using LLMs and RAG architectures.
• Build scalable RESTful APIs using FastAPI.
• Integrate AI applications with Azure Cloud services ensuring security and scalability.
• Develop and maintain CI/CD pipelines for automated deployments.
• Implement Docker-based containerization for application delivery.
• Collaborate with business and technical teams to translate requirements into AI solutions.
• Optimize data pipelines and queries using SQL.
• Apply DevOps best practices for automation, monitoring, and continuous improvement.

Skills

Python

SQL

OOP

FastAPI

LLMs

RAG

Prompt engineering

Azure Cloud

CI/CD

Docker

Git

System design

Problem solving

REST API

Tools

Azure

Docker

CI/CD tools

Job description

We are looking for a Generative AI Developer with strong hands-on experience in LLMs, Retrieval-Augmented Generation (RAG), and cloud-based AI solutions. The candidate will design, develop, and deploy scalable AI applications using modern frameworks, APIs, and DevOps practices.

Key Responsibilities

• Design, develop, and deploy Generative AI solutions using LLMs and RAG architectures
• Build scalable RESTful APIs using FastAPI
• Integrate AI applications with Azure Cloud services ensuring security and scalability
• Develop and maintain CI/CD pipelines for automated deployments
• Implement Docker-based containerization for application delivery
• Collaborate with business and technical teams to translate requirements into AI solutions
• Optimize data pipelines and queries using SQL
• Apply DevOps best practices for automation, monitoring, and continuous improvement

Required Skills & Qualifications

• Strong programming skills in Python and SQL
• Solid understanding of Object-Oriented Programming (OOP)
• Hands-on experience with FastAPI
• Practical knowledge of LLMs, RAG, and prompt engineering
• Experience with Azure Cloud (AI services, Storage, Compute)
• Experience with CI/CD pipelines and Docker
• Proficiency with Git and version control workflows
• Strong problem-solving and system design skills

Preferred Skills

• Experience with MLOps and model lifecycle management
• Familiarity with Vector Databases and Semantic Search
• Knowledge of API security standards (OAuth, JWT)
• Exposure to monitoring and performance optimization for AI systems