- Design, develop, and deploy enterprise Generative AI applications using Azure OpenAI Services.
- Build Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.
- Develop scalable REST APIs using FastAPI and Flask.
- Integrate Vision LLMs for image, document, and multimodal understanding.
- Build document processing pipelines using PyMuPDF for PDF extraction, parsing, and preprocessing.
- Implement semantic search using FAISS Vector Database.
- Engineer prompts and optimize LLM responses for enterprise use cases.
- Develop AI-powered chatbots, document Q&A;, summarization, and intelligent automation solutions.
- Optimize AI models for latency, scalability, and cost efficiency.
- Integrate AI solutions with enterprise applications and cloud services.
- Implement monitoring, evaluation, and experimentation frameworks using Opik or similar LLM observability tools.
- Collaborate with product managers, architects, data scientists, and software engineers to deliver AI solutions.
- Ensure AI applications follow security, governance, and responsible AI best practices.
Required Skills
Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings
- Semantic Search
- AI Agents
- Function Calling
- Context Management
- Model Evaluation
Cloud & AI Platforms
- Azure OpenAI Service
- Azure AI Services
- Azure Cognitive Search (preferred)
- Azure Storage
- Azure Functions (preferred)
Programming
- Python (Advanced)
- FastAPI
- Flask
- REST API Development
- Async Programming
- 5–10 years of software development experience with strong Python expertise.
- Minimum 2–4 years of hands-on experience in Generative AI and LLM-based application development.
- Experience implementing enterprise RAG architectures.
- Solid experience with Azure OpenAI.
- Experience integrating Vision LLMs for document and image processing.
- Hands-on experience with vector databases such as FAISS.
- Experience building production-ready AI APIs using FastAPI or Flask.
- Experience processing large PDF/document repositories using PyMuPDF.
- Experience with AI evaluation and observability tools such as Opik.
- Experience deploying AI applications in cloud environments.