Join a leading IT services company recognized as one of India's Top 25 Best Workplaces. This role offers an exciting opportunity to shape your career within an award-winning culture that values talent and ambition. As a Generative AI Engineer, you will be instrumental in designing and developing scalable AI solutions, working alongside senior architects and cross-functional teams.

At Iris Software, we empower our associates to realize their full potential by becoming our clients' most trusted technology partners. With a global presence and a focus on cutting-edge technologies like AI, Data & Analytics, and Cloud, we provide a dynamic environment for growth.

Contribute to the design and implementation of innovative Generative AI applications, translating functional requirements into efficient Python services.

Develop and enhance Retrieval Augmented Generation (RAG) pipelines, leveraging embeddings, vector databases, and advanced chunking strategies.

Implement basic Agentic workflows and explore vector search systems such as PGVector and FAISS, focusing on indexing, metadata tagging, and retrieval optimizations.

Participate in code reviews, design discussions, and contribute to documentation, adhering to best practices in coding standards, testing, and DevOps.

A strong foundation in Python, including Flask, RESTful APIs, and asynchronous programming, is essential for this role.

Practical experience with Generative AI, LLM-based applications, RAG systems, embeddings, and vector databases is required.

Familiarity with agentic frameworks like LangChain, LangGraph, ReAct, OpenAI Assistants, or custom agents is necessary.

Proficiency in AWS Cloud services (ECS, S3, API Gateway, IAM, Bedrock), API development, microservices, containerization, and CI/CD pipelines (Docker, GitLab/GitHub Actions) is expected.