successfactors
Sr GEN Ai Technical Lead-App Development
Birlasoft
Pune, IND
Senior · 7–10 years experience
Onsite
Discovered 2 weeks ago
azureazure-functionsdjangodockerfastapigit
Key Skills for This Role
azureazure-functionsdjangodockerfastapigit
Full Job Posting
Key Responsibilities
- Lead design and development of GenAI and Agentic AI solutions using Azure OpenAI, Azure AI Foundry, Azure Agent Service, Microsoft Agent Framework, LangGraph, and similar frameworks. Design multi agent workflows covering planning, reasoning, state management, memory, tool calling, human review, checkpoints, and failure recovery. Design enterprise RAG solutions using Azure AI Search, vector search, Cosmos DB, PostgreSQL with pgvector, and Redis. Define prompt pipelines, embeddings, retrieval strategies, context management, tool integrations, guardrails, and model evaluation. Convert architecture into low level designs, component designs, API contracts, data flows, and implementation plans. Lead Python development using FastAPI or Django, asynchronous programming, APIs, and microservices. Build and deploy solutions using Docker, AKS, Azure Functions, App Service, API Management, Event Grid, and Service Bus. Implement CI CD using Azure DevOps or GitHub Actions with automated testing and quality controls. Design secure solutions using authentication, authorization, managed identities, Key Vault, private networking, and content safety. Ensure scalability, performance, security, resiliency, observability, and Azure cost optimization. Lead design reviews, code reviews, production troubleshooting, root cause analysis, and performance tuning. Guide Technical Leads and developers across design, development, testing, deployment, and production support. Collaborate with architects, QA, DevOps, security, data, product, and integration teams to manage technical dependencies.
Required Skills
- Bachelors degree in Engineering, Computer Science, Information Technology, or related field. 7 to 10 years of software engineering experience. Strong hands on experience in AI, GenAI, Agentic AI, or cloud native solutions on Microsoft Azure. Strong experience with Azure OpenAI, Azure AI Foundry, Azure Agent Service, Microsoft Agent Framework, LangGraph, and Azure AI Search. Experience with RAG, embeddings, vector retrieval, prompt engineering, context management, model evaluation, and AI guardrails. Strong knowledge of multi agent orchestration, state management, memory, tool calling, human review, and failure recovery. Advanced Python development experience using FastAPI or Django, APIs, asynchronous programming, and microservices. Experience with Cosmos DB, PostgreSQL, pgvector, Redis, AKS, Azure Functions, App Service, and API Management. Experience with Docker, Kubernetes, Git, CI CD, automated testing, observability, deployment, and production support. Strong knowledge of Azure security, managed identities, Key Vault, scalability, resiliency, and cost optimization. Experience leading developers or multiple workstreams, technical estimation, risk management, and release governance.
Qualifications
- Bachelors degree in Engineering, Computer Science, Information Technology, or related field. 7 to 10 years of software engineering experience. Strong hands on experience in AI, GenAI, Agentic AI, or cloud native solutions on Microsoft Azure. Strong experience with Azure OpenAI, Azure AI Foundry, Azure Agent Service, Microsoft Agent Framework, LangGraph, and Azure AI Search. Experience with RAG, embeddings, vector retrieval, prompt engineering, context management, model evaluation, and AI guardrails. Strong knowledge of multi agent orchestration, state management, memory, tool calling, human review, and failure recovery. Advanced Python development experience using FastAPI or Django, APIs, asynchronous programming, and microservices. Experience with Cosmos DB, PostgreSQL, pgvector, Redis, AKS, Azure Functions, App Service, and API Management. Experience with Docker, Kubernetes, Git, CI CD, automated testing, observability, deployment, and production support. Strong knowledge of Azure security, managed identities, Key Vault, scalability, resiliency, and cost optimization. Experience leading developers or multiple workstreams, technical estimation, risk management, and release governance.
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