We are looking for an experienced GenAI Developer with hands-on expertise in Generative AI, Agentic AI, RAG, Python, and LangChain/LangGraph. The candidate will be responsible for designing and developing AI-powered applications, intelligent agents, and LLM-based solutions.

Key Responsibilities
Design, develop, and deploy Generative AI applications and solutions using Large Language Models (LLMs).
Develop Agentic AI solutions capable of autonomous reasoning, planning, tool usage, and task execution.
Build AI agents and workflows using LangChain / LangGraph.
Design and implement RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases.
Develop robust and scalable applications using Python.
Integrate LLMs, APIs, tools, and external systems to build intelligent AI applications.
Implement prompt engineering techniques to improve model performance and response quality.




Work with vector databases and embedding models for effective information retrieval.
Evaluate and optimize LLM/GenAI applications for accuracy, performance, latency, and cost.
Collaborate with business and technical teams to understand requirements and translate them into GenAI solutions.
Stay updated with the latest developments in Generative AI, Agentic AI, LLMs, and AI frameworks.

Key Competencies
Strong Python programming and problem-solving skills
Solid understanding of GenAI concepts and architectures
Ability to build production-ready AI solutions
Positive analytical and communication skills
Ability to work with cross-functional teams and understand business requirements

📌 Genai Engineer Noida
🏢 IRIS SOFTWARE
📍 Noida