GENAI-Agentic AI Technical Lead (Azure)

LiveMindz Inc.; Bengaluru, Pune District, Chennai, Dadri; Sur place; INR 2 500 000 - 4 000 000; Plein temps

Résumé du poste

SheJobs Group in Bengaluru is seeking a hands-on GENAI / Agentic AI Technical Lead with strong Azure, Python, and Azure OpenAI skills to design, develop, deploy, and support secure GenAI applications.

The ideal candidate will be responsible for designing, developing, deploying, and supporting secure and scalable GenAI applications while providing technical leadership to the development team.

Qualifications

• 6–8 years of software/AI development experience.
• Strong hands-on Python experience.
• Extensive Generative AI/LLM/Agentic AI expertise.
• Hands-on Azure AI services experience and Azure OpenAI.
• Experience with CI/CD, Azure DevOps, and production deployment.

Responsabilités

• Lead hands-on development of GenAI and Agentic AI solutions on Azure.
• Design and implement AI agent workflows covering planning, reasoning, state management, memory, tool calling, and human-in-the-loop workflows.
• Build enterprise RAG solutions using Azure AI Search and vector search technologies.
• Develop secure prompt pipelines, embedding workflows, retrieval logic, tool integrations, and model evaluation frameworks.
• Develop Python-based microservices and APIs using FastAPI or Django.
• Design and implement cloud-native applications using Docker, AKS, Azure Functions, and App Service.
• Implement CI/CD using Azure DevOps and GitHub Actions.
• Implement monitoring and observability using Azure Monitor, Application Insights, and Log Analytics.
• Apply secure coding practices, unit testing, integration testing, reusable design patterns, and code reviews.
• Implement security using authentication, authorization, managed identities, Key Vault, private endpoints, and secure service communication.
• Optimize GenAI applications using caching, batching, asynchronous processing, vector index optimization, autoscaling, and resilient error handling.
• Support deployments, production monitoring, incident analysis, root‑cause analysis, and preventive actions.
• Work closely with architects, product owners, QA, DevOps, security, data, and integration teams.
• Guide developers through technical discussions, task breakdown, debugging, pair programming, code reviews, and implementation support.
• Prepare technical designs, API specifications, deployment guides, runbooks, and knowledge‑transfer documents.

Connaissances

Python

Generative AI / LLM / Agentic AI

Azure AI services

LangGraph Framework

RAG & vector search

Embeddings

Prompt engineering

LLM evaluation

Azure AI Search

FastAPI / Django

Docker

Kubernetes / AKS

CI/CD & Azure DevOps

Production deployment & monitoring

Agent orchestration & state management

Technical leadership

Formation

Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field

Outils

Docker

Kubernetes/AKS

Azure DevOps

FastAPI

Django

LangGraph

Azure AI Search

Azure Functions

Azure App Service

Description du poste

GENAI-Agentic AI Technical Lead (Azure)

Location

Experience

6 - 8 Yrs

Job type

Full Time

About the Role

We are looking for a hands‑on GENAI / Agentic AI Technical Lead with strong experience in Microsoft Azure, Python, Azure OpenAI, RAG, Agentic AI, and cloud‑native application development.

The ideal candidate will be responsible for designing, developing, deploying, and supporting secure and scalable GenAI applications while providing technical leadership to the development team.

Key Responsibilities

• Lead hands‑on development of GenAI and Agentic AI solutions on Azure.
• Design and implement AI agent workflows covering planning, reasoning, state management, memory, tool calling, and human‑in‑the‑loop workflows.
• Build enterprise RAG solutions using Azure AI Search and vector search technologies.
• Develop secure prompt pipelines, embedding workflows, retrieval logic, tool integrations, and model evaluation frameworks.
• Develop Python‑based microservices and APIs using FastAPI or Django.
• Design and implement cloud‑native applications using Docker, AKS, Azure Functions, and App Service.
• Implement CI/CD using Azure DevOps and GitHub Actions.
• Implement monitoring and observability using Azure Monitor, Application Insights, and Log Analytics.
• Apply secure coding practices, unit testing, integration testing, reusable design patterns, and code reviews.
• Implement security using authentication, authorization, managed identities, Key Vault, private endpoints, and secure service communication.
• Optimize GenAI applications using caching, batching, asynchronous processing, vector index optimization, autoscaling, and resilient error handling.
• Support deployments, production monitoring, incident analysis, root‑cause analysis, and preventive actions.
• Work closely with architects, product owners, QA, DevOps, security, data, and integration teams.
• Guide developers through technical discussions, task breakdown, debugging, pair programming, code reviews, and implementation support.
• Prepare technical designs, API specifications, deployment guides, runbooks, and knowledge‑transfer documents.

Required Technical Skills

Must Have

• 6–8 years of overall software/AI development experience.
• Strong hands‑on experience with Python.
• Strong experience in Generative AI / LLM / Agentic AI.
• Hands‑on experience with Microsoft Azure AI services.
• LangGraph or equivalent Agent Orchestration Frameworks.
• Strong understanding of RAG, embeddings, vector search, prompt engineering, and LLM evaluation.
• Experience with Azure AI Search.
• Hands‑on experience with Docker and Kubernetes/AKS.
• Experience with CI/CD and Azure DevOps.
• Experience with production deployment, monitoring, troubleshooting, and support.
• Strong understanding of agent orchestration, state management, memory, and tool calling.
• Technical leadership experience including code reviews, mentoring, technical design, task breakdown, and SDLC ownership.

Preferred Skills

• Microsoft Agent Framework SDK
• Redis Enterprise
• GitHub Actions
• Content safety and AI guardrails
• Managed Identity
• Performance tuning and scalability
• MLOps / LLMOps

Education

Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field.

Skills & Technologies

Required Skills

Python Generative AI / LLM / Agentic AI Microsoft Azure AI services Azure OpenAI Azure AI Foundry LangGraph or equivalent Agent Orchestration Frameworks RAG, embeddings, vector search, prompt engineering, and LLM evaluation Azure AI Search FastAPI or Django Docker and Kubernetes/AKS CI/CD and Azure DevOps production deployment, monitoring, troubleshooting, and support agent orchestration, state management, memory, and tool calling technical leadership

Nice to Have

Azure Agent Service / Agent Runtime Microsoft Agent Framework SDK Cosmos DB PostgreSQL / pgvector Redis Enterprise Azure Functions Azure App Service Azure API Management (APIM) Azure Service Bus GitHub Actions Asynchronous Python programming Content safety and AI guardrails Azure Key Vault Managed Identity Private Endpoints Application Insights / Log Analytics Performance tuning and scalability Azure cost optimization MLOps / LLMOps Agile delivery