successfactors
GEN AI Technical Lead-App Development
Birlasoft
Hyderabad, IND
Lead · 5–8 years experience
Onsite
Discovered 2 weeks ago
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Key Skills for This Role
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Key Responsibilities
- Lead development of GenAI and Agentic AI solutions using Azure OpenAI, Azure AI Foundry, Azure Agent Service, Microsoft Agent Framework, LangGraph, and similar frameworks. Design and develop Agentic AI workflows involving planning, reasoning, state management, memory, tool calling, orchestration, and human review. Build enterprise RAG solutions using Azure AI Search, vector search, Cosmos DB, PostgreSQL with pgvector, and Redis. Develop prompt pipelines, embeddings, retrieval logic, context enrichment, tool integrations, model evaluation, content safety, and AI guardrails. Develop Python based APIs and microservices using FastAPI or Django and integrate them with Azure AI and enterprise applications. Build and deploy applications using Docker, Azure Kubernetes Service, Azure Functions, Azure App Service, and Azure API Management. Implement CI CD using Azure DevOps or GitHub Actions. Implement authentication, authorization, managed identities, Key Vault, private endpoints, monitoring, logging, and secure service communication. Optimize application performance using caching, asynchronous processing, batching, vector index optimization, and autoscaling. Review technical designs and code to ensure scalability, maintainability, security, reliability, and performance. Lead technical design, estimation, development, testing, deployment, production support, troubleshooting, and root cause analysis. Guide developers and collaborate with architects, product owners, QA, DevOps, security, data, and integration teams.
Required Skills
- Bachelors degree in Engineering, Computer Science, Information Technology, or related field. 5 to 8 years of software development experience. Strong hands on experience in AI, GenAI, Agentic AI, or cloud native application development on Microsoft Azure. Strong experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, RAG, embeddings, vector retrieval, prompt engineering, and model evaluation. Experience with Azure Agent Service, Microsoft Agent Framework, LangGraph, or similar Agentic AI frameworks. Strong understanding of agent orchestration, planning, reasoning, memory, state management, tool calling, and workflow implementation. Strong Python development experience using FastAPI or Django. Experience with Cosmos DB, PostgreSQL, pgvector, or similar databases. Experience with Azure Kubernetes Service, Azure Functions, Azure App Service, Azure API Management, Docker, Git, and CI CD. Good understanding of security, observability, scalability, reliability, performance tuning, and production support. Experience leading developers and working in Agile delivery teams across the complete SDLC. Key Skills GenAI, Agentic AI, Azure OpenAI, Azure AI Foundry, Azure Agent Service, Microsoft Agent Framework, LangGraph, RAG, Azure AI Search, Vector Search, Embeddings, Python, FastAPI, Django, Cosmos DB, PostgreSQL, pgvector, AKS, Azure Functions, Docker, Azure DevOps, GitHub Actions, LLM, Prompt Engineering, Model Evaluation, AI Guardrails, Microservices
Qualifications
- Bachelors degree in Engineering, Computer Science, Information Technology, or related field. 5 to 8 years of software development experience. Strong hands on experience in AI, GenAI, Agentic AI, or cloud native application development on Microsoft Azure. Strong experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, RAG, embeddings, vector retrieval, prompt engineering, and model evaluation. Experience with Azure Agent Service, Microsoft Agent Framework, LangGraph, or similar Agentic AI frameworks. Strong understanding of agent orchestration, planning, reasoning, memory, state management, tool calling, and workflow implementation. Strong Python development experience using FastAPI or Django. Experience with Cosmos DB, PostgreSQL, pgvector, or similar databases. Experience with Azure Kubernetes Service, Azure Functions, Azure App Service, Azure API Management, Docker, Git, and CI CD. Good understanding of security, observability, scalability, reliability, performance tuning, and production support. Experience leading developers and working in Agile delivery teams across the complete SDLC. Key Skills GenAI, Agentic AI, Azure OpenAI, Azure AI Foundry, Azure Agent Service, Microsoft Agent Framework, LangGraph, RAG, Azure AI Search, Vector Search, Embeddings, Python, FastAPI, Django, Cosmos DB, PostgreSQL, pgvector, AKS, Azure Functions, Docker, Azure DevOps, GitHub Actions, LLM, Prompt Engineering, Model Evaluation, AI Guardrails, Microservices
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