Experience: 4+ Years;

Responsibilities
Develop and deploy Generative AI solutions using LLMs and RAG architectures.
Design and implement RESTful APIs using Rapid 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 Rapid 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 team-oriented 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.

📌 Gen Ai Developer Bengaluru
🏢 Tekskills
📍 Bengaluru