Gen AI Engineer

Tekskills; Mumbai; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Tekskills is seeking a Generative AI Developer in Mumbai to design, develop, and deploy scalable AI applications using LLMs and RAG architectures. You will build RESTful APIs with FastAPI and integrate AI workloads with Azure Cloud, ensuring security and scalability.

Responsibilities include CI/CD pipeline ownership, Docker-based containerization, and close collaboration with cross-functional teams to translate requirements into AI solutions.

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.

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

LLMs

RAG

Azure Cloud

CI/CD

Git

System design

REST APIs

Tools

FastAPI

Docker

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