- Strong hands-on experience in Python (production-grade development)
- Experience in building and deploying Generative AI / LLM-based solutions
- Solid knowledge of RAG architecture and LLM frameworks (e.g., LangChain or similar)
- Experience with vector databases and embeddings
- Advanced SQL (complex queries, performance optimization)
- Experience developing APIs (FastAPI/Flask)
- Working knowledge of OpenShift (OCP) and containerization (Docker)
- Strong problem-solving skills and ability to work independently
Good to Have
- Experience with model fine-tuning
- Exposure to cloud AI services (Azure/AWS/GCP)
- Understanding of MLOps practices
- Experience in banking/insurance domain
We are looking for a Senior Generative AI Engineer capable of independently designing and delivering end-to-end GenAI solutions.
The role requires strong Python and SQL expertise, hands-on experience with LLMs and RAG architectures, and working knowledge of OpenShift-based deployments. The candidate should be able to: Design and build scalable GenAI solutions Develop and optimize RAG pipelines Build APIs and integrate structured/unstructured data sources Deploy solutions on OCP with minimal supervision Take ownership from design to production The expectation is that after
Mandatory Competencies
- Data Science and Machine Learning - Gen AI
- Data Science and Machine Learning - Python
- Programming Language - Python - Flask
- DevOps/Configuration Mgmt - Docker
- Database - SQL
📌 Gen AI - Engineer (Uttar Pradesh)
🏢 IRIS SOFTWARE
📍 Uttar Pradesh
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