Generative AI & AI Engineering
Design, develop, and deploy enterprise Generative AI applications using Azure OpenAI Services.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.
Develop AI-powered chatbots, document Q&A; systems, summarization engines, and intelligent automation solutions.
Implement semantic search solutions using vector databases such as FAISS and Azure AI Search.
Engineer prompts and optimize LLM performance for enterprise use cases.
Build AI Agents and agentic workflows using up-to-date orchestration frameworks.
Integrate Vision LLMs for document understanding, image analysis, OCR, and multimodal AI applications.
Develop document processing pipelines using PyMuPDF and OCR technologies.
Implement model evaluation, prompt testing, experimentation, and observability frameworks.
Optimize AI models and services for scalability, latency, reliability, and cost efficiency.
Python & Backend Engineering
Design, develop, and maintain scalable Python applications and services.
Build RESTful APIs and microservices using FastAPI, Flask, and Django.
Write clean, reusable, maintainable, and well-documented code.
Implement multithreaded and asynchronous applications for high-performance workloads.
Integrate applications with databases, cloud services, AI platforms, and third-party APIs.
Troubleshoot production issues and perform root-cause analysis.
Develop automated unit tests, integration tests, and performance tests.
Participate in code reviews and mentor junior developers.
Build secure, reliable, and scalable software architectures.
Cloud, DevOps & Deployment
Deploy AI and backend applications on Azure, AWS, or GCP.
Implement containerized deployments using Docker and Kubernetes.
Build CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
Implement monitoring, logging, alerting, and performance benchmarking.
Ensure compliance with security, governance, and Responsible AI practices.
Collaborate wi
📌 GenAI Developer (Pune)
🏢 Zensar
📍 Pune