Key Responsibilities
Design, develop, and deploy GenAI-powered applications using up-to-date frameworks and tools.
Build and manage Agentic AI workflows using frameworks like LangGraph / Semantic Kernel.
Develop scalable backend services and APIs using FastAPI, Flask, or Django.
Work on prompt engineering , optimization, and evaluation for LLM-based solutions.
Integrate AI models with business applications and user interfaces.
Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
Ensure performance, scalability, and reliability of AI systems deployed on cloud platforms.

Mandatory Technical Functional Skills
Strong programming skills in Python (must-have) , along with exposure to Java or R .
Hands-on experience in building backend services using FastAPI / Flask / Django .
Practical experience with GenAI frameworks such as:
LangChain
LlamaIndex
LlamaParse / LlamaCloud
Semantic Kernel
LangGraph
Solid understanding of Agentic AI concepts and implementations .




Experience in prompt engineering and building end-to-end AI applications.
Experience in developing analytical/modeling solutions using open-source and commercial tools.
Full-stack development exposure:
Frontend: React / Angular / JavaScript
Backend integration with AI services
Robust experience in data management and AI solutions on Microsoft Azure (preferred).

Preferred Skills
Experience with LLM orchestration, RAG pipelines, and vector databases .
Knowledge of Azure AI services / OpenAI / Cognitive Services .
Understanding of microservices architecture and API design .

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Gen Ai Professional Bengaluru (India)
🏢 RARR Technologies
📍 India