Posted on: 24/11/2025
Key Responsibilities :
- Design and develop end-to-end GenAI applications using LLMs, embeddings, and vector search.
- Build RAG pipelines, including document ingestion, chunking, embeddings, and retrieval optimization.
- Create prompt templates, evaluation frameworks, and fine-tuning workflows.
- Develop scalable Python-based AI services and APIs.
- Deploy and manage AI workloads using Azure OpenAI, Azure Functions, Docker, and CI/CD pipelines.
- Work closely with engineering and product teams to translate business problems into AI-driven solutions.
- Monitor performance, optimize model quality, and implement best practices for AI reliability and security.
Required Skills :
- 3+ years of hands-on experience in GenAI/LLM development.
- Strong programming expertise in Python.
- Experience with RAG, vector databases, prompt engineering, and cloud services.
- Knowledge of Azure OpenAI, containers (Docker), and DevOps pipelines.
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