Gen AI Developer

Tekskills; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Tekskills is hiring for an AI-enabled developer in Bengaluru to design and deploy Generative AI solutions using LLMs and RAG architectures. You will build RESTful APIs with FastAPI, integrate models on Azure, and maintain CI/CD pipelines.

You will collaborate with cross-functional teams, optimize data workflows with SQL, and implement Docker-based deployments with strong DevOps discipline.

Qualifications

• Proficiency in Python and SQL with OOP understanding.
• Experience building APIs with FastAPI.
• Hands-on Azure Cloud services experience.

Responsibilities

• Develop and deploy Generative AI solutions using LLMs and RAG.
• Design RESTful APIs with FastAPI for AI apps.
• Integrate AI models with Azure for scalable, secure services.
• Build CI/CD pipelines for automated deployment and versioning.
• Containerize with Docker for efficient delivery.
• Collaborate across teams to translate requirements into tech
• Optimize data workflows and ensure fast data retrieval with SQL.
• Apply DevOps best practices for automation and monitoring.

Skills

Python

SQL

OOP

FastAPI

Azure

LLMs

RAG

Prompt engineering

CI/CD

Docker

Git

Problem solving

Education

Bachelor's degree in CS/Engineering

Tools

FastAPI

Azure Cloud

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.