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Country/Region:  IN
Requisition ID:  34167
Work Model: 
Position Type: 
Salary Range: 
Location:  INDIA - NOIDA- BIRLASOFT OFFICE

Title:  Sr Technical Lead-Agentic AI Developer_Azure AI And Python

Description: 

Area(s) of responsibility

Job Title

Agentic AI Developer (Azure AI Foundry + Python)

Experience

7–10 years total experience
(3+ years in AI/ML or GenAI solution delivery preferred)

 

Role Summary

We are seeking an Agentic AI Developer to design, build, and deploy agent-based GenAI solutions using Azure AI Foundry and Python. The ideal candidate will be experienced in LLM application development, building tool-using agents, orchestrating workflows, integrating enterprise systems, and deploying solutions securely and reliably on Azure.

This role is hands-on and delivery-focused: you will build production-grade agentic solutions (multi-step reasoning, tool calling, workflow orchestration, RAG, evaluation, observability) and collaborate with product, platform, security, and data teams to ship responsibly.

Key Responsibilities

Agentic AI Solution Development (Azure AI Foundry)

  • Build agentic applications using Azure AI Foundry capabilities (agents, prompt flows/workflows, model endpoints, evaluation, monitoring).
  • Design agents that can:
    • Use tools (APIs, functions, connectors)
    • Execute multi-step tasks (planning → execution → validation)
    • Maintain context safely (session memory, retrieval, grounding)
  • Implement guardrails (content safety, prompt injection defenses, data boundaries) and enterprise governance patterns.

Required Skills & Experience

Core Requirements

  • 7–10 years of total IaC & coding Development experience
  • Strong Python (API development, async patterns, packaging, testing)
  • Hands-on experience building GenAI applications with:
    • Agentic frameworks/patterns (tool use, planning, orchestration)
    • Prompt engineering and prompt lifecycle management
    • RAG implementations and vector search concepts
  • Solid experience with Azure services (at least a few of):
    • Azure AI Foundry / model endpoints
    • Azure AI Search
    • Storage (Blob), Key Vault
    • App Service / Functions / Container Apps / AKS
    • API Management, Logic Apps (nice to have)

Engineering Best Practices

  • REST API design (FastAPI/Flask), authentication/authorization (OAuth2/JWT)
  • Git, branching strategies, code review discipline
  • CI/CD pipelines, containerization (Docker), environment management
  • Strong debugging and performance optimization capability

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