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L3 Agentic developer

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Remote

L3 Agentic developer

SISL Global

L3 Agentic developer

Skills

PythonC#DatabricksMachine LearningAINo-code AutomationsPySparkServiceNowMicrosoft Power PlatformAzure

4 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Bengaluru, Karnataka, India

Work mode:

Remote

Published on:

15 October 2026

What they need


Role Overview

Design, develop, and deploy Agentic AI solutions leveraging Microsoft Power Platform and Azure services. The role involves building autonomous workflows, AI-powered automation pipelines, and scalable backend integrations using Python and cloud-native services.

Must-Have Skills

1. Power Automate (Advanced Level)

  • Design and implement complex cloud flows and automated workflows
  • Experience with:
  • HTTP connectors (REST API integration)
  • Custom connectors
  • Error handling & retry policies
  • Environment strategy and governance
  • Integration with SharePoint, Dataverse, ServiceNow, Azure services, etc.
  • Implement AI-driven orchestration using Power Automate as an agent workflow layer

2. Azure Databricks (Python)

  • Strong proficiency in Python
  • Experience with:
  • PySpark
  • Data transformation & ETL pipelines
  • Delta Lake architecture (Bronze/Silver/Gold layers)
  • Building AI/ML-ready data pipelines
  • Working with structured and unstructured datasets
  • Experience in embedding generation / vectorization (good advantage for Agentic AI)

3. Azure Function App

  • Develop serverless APIs using:
  • Python or C#
  • Implement:
  • Event-driven architectures
  • Durable functions (if applicable)
  • HTTP-triggered AI orchestration endpoints
  • Integration with:
  • Power Automate
  • Dataverse
  • Azure Storage / ADLS
  • Secure authentication (Managed Identity, OAuth2, App Registrations)

Good-to-Have Skills

Copilot Studio

  • Designing conversational agents
  • Building:
  • Custom topics
  • Generative answers
  • API-based actions
  • Understanding:
  • Copilot extensibility
  • Custom connectors
  • Governance & environment strategy

Agentic AI-Specific Competencies (Highly Preferred)

  • Understanding of:
  • Multi-agent orchestration
  • Tool usage patterns
  • Retrieval-Augmented Generation (RAG)
  • API orchestration between AI services
  • Prompt engineering fundamentals
  • Vector database concepts (Azure AI Search preferred)
  • AI workflow monitoring & observability

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