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.

Python Engineering (Production-Grade)
- Develop clean, testable, and scalable Python services for:

- Agent orchestration layers

- Tool adapters and connectors

- RAG pipelines (retrieval + grounding + citation)

- Background workers and async task runners

- Write unit/integration tests, performance tests, and adopt solid code quality practices (linting, typing, CI).

RAG, Search & Knowledge Grounding
- Implement Retrieval-Augmented Generation using:

- Azure AI Search / vector search

- Embeddings pipelines

- Chunking, metadata filtering, hybrid search, reranking

- Design data ingestion workflows from enterprise sources (SharePoint, Blob,



SQL, APIs) with incremental indexing strategies.

Integration with Enterprise Systems
- Integrate agents with tools and systems such as:

- ServiceNow / Jira

- CRM/ERP APIs

- Internal knowledge bases

- Azure Functions / Logic Apps / API Management

- Build secure tool-calling patterns with authentication, authorization, auditing, and least privilege.

Deployment, Observability & Responsible AI
- Package and deploy services to Azure (App Service, Functions, AKS—based on need).

- Implement observability: structured logs, traces, model telemetry, prompt/response auditing (with PII controls).

- Set up evaluation frameworks: regression tests for prompts, hallucination checks, groundedness scoring, and automated quality gates.

DevOps & MLOps for GenAI
- Create CI/CD for agent workflows and Python services using GitHub Actions / Azure DevOps.

- Use IaC where applicable (Bicep/Terraform) for environment consistency.

- Manage secrets securely via Key Vault and implement environment-specific configuration 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

📌 Azure AI Foundry and Python (Bengaluru)
🏢 TalentOla
📍 Bengaluru