Description
You will design and implement RAG pipelines using hybrid search, vector keyword semantic ranking, and metadata enrichment.
Responsibilities
- Design and implement RAG pipelines using chunking strategies including fixed size, recursive, semantic, and agentic approaches.
- Fine-tune and evaluate LLMs such as GPT, LLaMA, and Ollama for QA, summarization, NER, and sentiment analysis.
- Build multi-agentic systems and integrate AI capabilities into enterprise applications using Azure OpenAI, Azure Foundry, AI Search, Azure Functions, and Power Automate.
- Manage security compliance of Azure Subscription resources and maintain the build and release process.
- Coordinate offshore teamwork and participate in SCRUM ceremonies and status reporting.
Required Skills
- 15+ years of experience in software development with strong AI skills.
- Proficiency in Python and C.
- Extensive experience building and consuming APIs.
- Hands-on experience with Azure AI Foundry, Azure AI Search, and Azure AI Services.
- Expertise in Generative AI frameworks, prompt engineering, and embedding generation techniques.
- Experience building AI agents and working with Agentic AI concepts.
- Practical knowledge of evaluation frameworks for AI agent responses.
- Experience with Microsoft Copilot Studio and Power Automate.
- Proficiency with Azure DevOps (ADO) and general DevOps practices.
- Experience with AI SDKs and APIs for solution development.
Preferred Skills
- Background in fullstack development.