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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 modern 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 with architects, product managers, data scientists, and engineering teams.
IT Services
