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Agentic AI: LangGraph, LangChain, orchestrator/router, tool calling, multi-agent workflows, state, memory, checkpointing, human approval, structured outputs, MCP concepts at Deloitte - ApplyBlast

Agentic AI: LangGraph, LangChain, orchestrator/router, tool calling, multi-agent workflows, state, memory, checkpointing, human approval, structured outputs, MCP concepts

Deloitte

16 days ago

3.8 on Glassdoor

Onsite

Full Time

Senior

0 applicants

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About this role

This role focuses on developing and implementing advanced AI solutions, including agentic workflows, generative AI, and machine learning models. It involves leveraging cloud platforms and MLOps practices to deploy, monitor, and maintain scalable AI systems. The position requires expertise in Python, data processing, and quality engineering to ensure robust and reliable AI applications.

Responsibilities

Design and implement agentic AI workflows using LangGraph and LangChain
Develop and optimize RAG systems with Azure AI Search and vector databases
Build and deploy machine learning models using scikit-learn and XGBoost

Skills

About Deloitte

deloitte.com

Headquarters

Belgrade, Central Serbia, Serbia

Company Size

10001+ employees

Founded

1845

View Profile

Deloitte is a global professional services network and one of the "Big Four," providing audit & assurance, tax, consulting, risk advisory, and financial advisory services through member firms in more than 150 countries. It serves public- and private-sector clients across industries with strategy, digital and technology transformation, cybersecurity, analytics, human capital, and transaction support. Deloitte combines deep industry expertise, technology partnerships, and multidisciplinary teams to drive measurable business outcomes, innovation, and sustainability. Clients rely on Deloitte for its global scale, regulatory knowledge, and integrated advisory and implementation capabilities.