Job Summary

5-9 years of experience in Power automate, Azure Databricks, Python, Pyspark, Azure Function App

Skill

Power Automate (Advanced Level) - HTTP connectors,Custom Connectors,Error Handling , Integration with SharePoint, Dataverse, ServiceNow, Azure services,Implement AI-driven orchestration using Power Automate

Azure Databricks (Python) - Python, PySpark,Data transformation & ETL Pipelines, Delta Lake Architecture(Bronze, Silver, Gold Layers)

Azure Databricks (Python) - AI/ML-ready data pipelines, structure and Unstructured Datasets

Azure Function App - Develop API's using Python or C#, Implement event driven architectures,HTTP-triggered AI orchestration endpoints

Azure Function App - Integration with Power Automate, Dataverse,Azure Storage/ADLS, Secure Authentiction(Managed Identity, OAuth2,App Registrations)

Good to have Skills Copilot Studio - Building custome topics,generative answers,API based actions,Understandig copilot extensibility,Custom connectors. Agentic AI-Specific Competencies (Highly Preferred) - RAG, Prompt engineering, Vector database concepts

 

Key Responsibilities

1. Lead solution development using GenAI, LLMs, and prompt engineering to architect and implement scalable AI applications, ensuring alignment with project requirements.
2. Develop and optimize RESTful APIs with Python frameworks such as Flask, Django, and FastAPI to enable seamless integration of AI models and data sources.
3. Design and maintain data pipelines utilizing MySQL, PostgreSQL, and VectorDB technologies (e.g., Pinecone), ensuring efficient storage and retrieval of embeddings and model outputs.
4. Implement advanced prompt engineering techniques to enhance LLM performance, tailoring prompts for specific use cases and optimizing model responses.
5. Oversee code quality and performance by conducting comprehensive code reviews and enforcing best practices in Python and AI model development.
6. Integrate Azure AI Search and other cloud-based tools to support retrieval-augmented generation and scalable deployment of GenAI solutions.
7. Collaborate within the development team to resolve technical challenges, provide guidance on architectural decisions, and ensure process compliance throughout the project lifecycle.

Skill Requirements

1. Advanced Proficiency In Genai, Llms, And Prompt Engineering For Solution Design And Implementation.
2. Solid Experience With Python And Frameworks Such As Flask, Django, And Fastapi.
3. Advanced Knowledge Of Restful Api Development And Integration.
4. Indepth Expertise In Relational And Vector Databases, Including Mysql, Postgresql, And Pinecone.
5. Advanced Skills In Embeddings, Retrievalaugmented Generation, And Cloud Ai Services (E.G., Azure Ai Search).
6. Strong Understanding Of Code Optimization, Performance Tuning, And Quality Assurance In Aicentric Projects.

Other Requirements

1. Optional but valuable:
2. Microsoft Certified: Azure AI Engineer Associate
3. - Google Professional Machine Learning Enginee