Odpovědnosti

Původní popisek.

Agent Orchestration: Design, develop, and deploy complex, multi-step AI agents using LangChain, LangGraph, and ADK, ensuring efficient state management and execution paths.
Tool and Function Calling: Implement robust mechanisms for agents to utilize external APIs, custom Python functions, and specialized tools (Tool Use) to achieve complex goals and interact with enterprise systems.
GCP Service Integration: Leverage the full suite of Vertex AI services (Agent Builder, Pipelines, Workbench) to manage the entire agent lifecycle, from testing to scalable production deployment.
Model Integration and Customization: Integrate and manage various foundational models (GCP, open source) and utilize Vertex AI Training for model customization where required.
Infrastructure & Networking: Utilize general GCP infrastructure knowledge, including Compute (Agent Engine, GKE, Cloud Run) for deployment, and adhere to networking standards (VPC, Load Balancing, Cloud DNS).
Performance and Reliability: Implement rigorous testing and logging to monitor agent behavior, optimize token usage, ensure reasoning accuracy, and minimize potential hallucinations.

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O pozici / o projektu

Původní popisek. We are seeking for Python Developer with experience in building AI systems. This role requires deep expertise in Python, experience or exposure to leading agent orchestration frameworks (ADK, LangChain, LangGraph, etc.), and extensive experience leveraging Google Cloud Platform’s Vertex AI suite. You will be responsible for designing, deploying, and optimizing multi-step reasoning agents capable of advanced tool use, function calling, and managing diverse GenAI tasks across text and code generation domains. If you thrive on developing intelligent, goal-oriented AI applications, this is the role for you.

Detail pracovní nabídky

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Python developer with Gen AI/Agent (Python/GCP) @ Deloitte

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