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Full Stack LLM Development Team Lead/Consultant

Accenture · Gurugram, India

About this role

Accenture seeks a Full Stack LLM Development Team Lead/Consultant in Gurugram for a full-time Custom Software Engineer project role. The position provides hands-on technical leadership in designing and delivering production-ready generative AI and agentic AI solutions. The posting states a minimum of 5 years of experience and describes the ideal candidate as having 6–10 years of software development experience. It requires 15 years of full-time education.

Responsibilities

  • Lead the design and development of AI agents, agentic workflows, orchestration, LLM integrations, APIs and enterprise integrations.
  • Translate business requirements into scalable solutions; guide implementation, conduct design and code reviews, resolve complex issues, and maintain quality, security, performance and maintainability.
  • Mentor developers and promote coding standards, reusable components, testing, observability and Responsible AI practices.

Required expertise:

  • Strong Python development skills for production-ready applications, including REST APIs, architecture, design patterns, testing, debugging and performance optimization.
  • Practical GenAI and LLM application experience covering prompt engineering, context management, model selection, tokens, embeddings and tool or function calling.
  • Hands-on agent and workflow development with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel or Amazon Bedrock Agents; understanding of RAG, vector databases, semantic search and knowledge retrieval. Experience integrating with APIs, enterprise applications, databases and external tools is also required.

Preferred or desirable exposure includes MCP, multi-agent architectures, Amazon Bedrock, OpenAI, Anthropic or Azure OpenAI services, AI evaluation, guardrails, AI security, Docker, Kubernetes, serverless or cloud deployment, observability and production support.

Skills for this role

PythonGenerative AIAgentic AIAI agentsLLMsPrompt engineeringREST APIsSoftware architectureDesign patternsTestingDebuggingPerformance optimizationContext managementModel selectionEmbeddingsTool callingLangChainLangGraphAutoGenCrewAISemantic KernelAmazon Bedrock AgentsRAGVector databasesSemantic searchKnowledge retrievalAPI integrationCode reviewTechnical leadershipMentoring

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