Gen AI Developer

Tekskills; Chennai District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Tekskills is seeking an experienced AI Software Engineer in Chennai to design, build, and deploy Generative AI solutions. The role focuses on LLMs, RAG architectures, and API development using FastAPI within Azure cloud environments.

You will own CI/CD pipelines, Docker-based deployments, and robust data workflows, collaborating with cross-functional teams to deliver scalable, secure AI-driven applications.

Qualifications

• 4+ years in AI/ML dev roles.

Responsibilities

• Develop and deploy Generative AI solutions using LLMs and RAG architectures.
• Design and implement RESTful APIs using FastAPI for AI-driven applications.
• Integrate AI models with Azure Cloud services, ensuring scalability and security.
• Build and maintain CI/CD pipelines for seamless deployment and version control.
• Implement containerization using Docker for efficient application delivery.
• Collaborate with cross-functional teams to translate requirements into technical solutions.
• Optimize data workflows using SQL and ensure high-performance data retrieval.
• Apply DevOps best practices for automation, monitoring, and continuous improvement.

Skills

Python

SQL

OOP Principles

LLMs

RAG

Prompt Engineering

CI/CD

Git

API Development

Tools

Docker

Azure Cloud

FastAPI

Job description

Experience: 4+ Years;

Responsibilities

• Develop and deploy Generative AI solutions using LLMs and RAG architectures.
• Design and implement RESTful APIs using Fast API for AI-driven applications.
• Integrate AI models with Azure Cloud services, ensuring scalability and security.
• Build and maintain CI/CD pipelines for seamless deployment and version control.
• Implement containerization using Docker for efficient application delivery.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Optimize data workflows using SQL and ensure high-performance data retrieval.
• Apply DevOps best practices for automation, monitoring, and continuous improvement.

Required Skills & Qualifications

• Programming: Strong proficiency in Python and SQL; solid understanding of OOP principles.
• Frameworks: Experience with Fast API for API development.
• Cloud: Hands-on experience with Azure Cloud services (AI, Storage, Compute).
• AI Expertise: Knowledge of LLMs, RAG, and prompt engineering techniques.
• DevOps: Experience with CI/CD pipelines, Docker, and deployment automation.
• Version Control: Proficiency with Git and collaborative development workflows.
• Problem-Solving: Ability to design scalable, secure, and efficient AI solutions.

Preferred Qualifications

• Experience with MLOps and model lifecycle management.
• Familiarity with vector databases and semantic search.
• Knowledge of API security standards (OAuth, JWT).
• Exposure to monitoring tools and performance optimization for AI systems.