Python developer with Gen AI / Agent (Python / GCP) | Osoba doświadczona

Who we are looking for

• Essential Python Proficiency: Exceptional expertise in Python is mandatory for ML development, API integration, and leveraging SDKs (Vertex AI SDK, OpenAI SDK).

• Agent Development Exposure: Experience in building and orchestrating complex AI workflows using state-of-the-art frameworks, specifically: LangChain, LangGraph, and ADK (Agent Development Kit).

• GenAI Task Experience: Practical experience developing solutions for core Generative AI tasks, including sophisticated function calling, code generation, classification, summarization, and prompt engineering for text generation.

• Grounding Techniques Knowledge: Understanding of grounding models using techniques like RAG (Retrieval Augmented Generation) to provide external, factual context for agents.

• GCP AI Ecosystem Familiarity: Strong working knowledge of key GCP GenAI and MLOps tools, including:

• Agent Tools: Direct experience utilizing Vertex AI Agent Builder for developing conversational and goal-oriented agents.

• Development Environments: A2A, Managed Compute Platform (MCP), Vertex AI Workbench/Notebooks for development.

• MLOps & Deployment: Vertex AI Pipelines for workflow orchestration.

• Model Management: Vertex AI Training for custom training, fine-tuning, and hyperparameter tuning.

• English proficiency

• EU work permit

• Graph Databases: Experience with graph databases (e.g., Neo4j) and their integration into LangGraph or RAG systems to manage complex relationships and contextual memory.

• Low-Latency Deployment: Experience optimizing GenAI applications for low-latency, high-throughput environments (e.g., using quantization or compiling models).

• Security & Compliance: Familiarity with data security principles related to PII/PHI handling within GenAI pipelines and implementing filtering mechanisms (e.g., DLP).

• Advanced MLOps: Deep experience with running production workloads on GKE or leveraging advanced features of Cloud Run for model serving.

Poziom doswiadczenia

• Osoba doświadczona

Your future role

• 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.

• Documentation & Best Practices: Document agent architectures, development processes, and promote reusable design patterns across the engineering team.