Responsibilities:
- Design and develop LLM-powered applications using Python and Azure OpenAI services.
- Build end-to-end Retrieval-Augmented Generation (RAG) pipelines, integrating vector databases, semantic search and other related tools.
- Develop conversational agents and virtual assistants, using frameworks like LangChain or LlamaIndex.
- Craft effective prompts using advanced prompt engineering and prompt design techniques.
- Integrate LLMs with external tools, APIs, and business data systems.
- Apply Agentic AI patterns to RAG and AI Workflows, interacting with LLMs by orchestrating various agents together
- Deploy and manage applications using Azure Functions, Azure AI services, and serverless components.
- Ensure performance, scalability, and reliability of AI solutions on Azure.
- Collaborate across teams and participate in agile development processes.
Required Skills (Must Have):
- Strong proficiency in Python programming language.
- Expertise in Azure OpenAI Service, including foundation model usage and integration.
- Build and deploy AI solutions leveraging Azure AI services (e.g., Cognitive Services, Azure ML, Azure AI Search).
- Deep experience in prompt engineering, including various prompting strategies (few-shot, chain-of-thought, etc.).
- Hands-on experience building RAG pipelines with vector databases and tool integrations.
- Proven experience developing chatbots or virtual assistants using LLMs.
- Proficiency in at least one LLM application framework (e.g., LangChain, LlamaIndex).
- In-depth understanding of LLM models, their capabilities, and applications.
- Good understanding of LLM evaluations, and how to evaluate LLM model outputs.
- Good understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs
- Experience deploying with Azure Function Apps and broader Azure ecosystem.
- Solid grasp of API integrations and data workflow design.
- Strong problem-solving skills and ability to deliver scalable, efficient code.
- Excellent communication and team collaboration abilities.
Preferred Skills (Good to Have):
- Familiarity with Multi-AgentAI orchestration and agentic workflows.
- Experience building cloud-native services with serverless architectures.
- Understanding of NLP techniques and data transformation pipelines.
- Familiarity with LLMOps concepts and AI model lifecycle.
Qualifications:
- Bachelor s degree in computer science, Computer Engineering, or a related field.
- 3+ years of experience in software development.
- Experience with LLM applications and cloud platforms.
