Gen AI Developer

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

Job summary

Tekskills in India is seeking a skilled AI engineer to develop and deploy Generative AI solutions, focusing on LLMs, RAG, and API delivery. You will contribute to scalable systems and secure architectures within an AI-driven product stack.

The role requires strong Python/SQL proficiency, experience with FastAPI, Azure cloud services, and modern DevOps practices. You will collaborate with cross-functional teams to translate business needs into robust technical solutions.

Qualifications

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

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.

Skills

Python

SQL

OOP

LLMs

RAG

Prompt engineering

DevOps practices

Git

Problem solving

Tools

FastAPI

Azure Cloud

Docker

CI/CD

REST API design

Git workflows

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.