Gen AI - Senior Engineer

Location: Noida, UP, India

Company: Iris Software

Must-have

• Degree in Computer Science, Machine Learning, Deep Learning, or equivalent hands-on experience.
• 2-5 years building Deep Learning or Machine Learning models in production environments.
• Advanced proficiency in Python and hands-on experience with Generative AI frameworks and architectures.
• Deep knowledge of retrieval-augmented generation (RAG), agentic frameworks, context and memory management, and tool/skills integration patterns.
• Strong understanding of large language model architectures, inference, fine-tuning, and model deployment.
• Experience with Anthropic models and Claude, including code generation capabilities. In-depth knowledge of embeddings, re-rankers, and vector databases.
• Expertise in ML experimentation, model evaluation, and monitoring in production. Strong foundation in algorithms, data structures, and distributed computing.
• Understanding of Enterprise standards or have prior experience of working with enterprise team, ability to learn on the job and adapt to change.
• Embraces an AI-first approach: actively incorporates AI tools and technologies into daily workflows to enhance productivity, streamline routine tasks, and drive efficiency.
• Strong understanding of CI and CD.
• Also good understanding of code review and quality gate checks such as unit tests, open source scans, Aqua scans, etc., and worked on fixing these.

• Data AI - GEN AI - Python
• Programming Language - Python - Numpy
• Data AI - GEN AI - Advanced GenAI Agentic Framework Concepts
• Data AI - GEN AI - Retrieval Augmented Generation (RAG) / Graph RAG / Agentic AI Systems
• Data AI - GEN AI - Workflow Agentic Frameworks (LangChain / LangGraph)
• Data AI - GEN AI - Cloud Application Integration Deployment
• Data AI - GEN AI - AI Search Index
• Data AI - GEN AI - Prompt Engineering / Vector Databases