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.

Python Developer (LLM Prompting & AI Workflow Specialist)

Full Stack Developer (Python+AI)