Senior Python Engineer With AI (PwC – AI-Native Platform) at Staffinit | Torre

Senior Python Engineer With AI (PwC – AI-Native Platform)

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Full-time

Legal agreement: Contractor

Currency exchange and payroll taxes to be paid by:

Company

Compensation
EUR20 - 35/hour
~USD23.3 - 40.8/hour
Non-negotiable
location_on
Remote (specific timezone)
public
GMT-02:00 to GMT+06:00
Posted 21 days ago

Responsibilities


Project: - Build PwC's next-generation AI-native platform using agentic pipelines, MCP servers, and LLM orchestration to scale professional services automation. Logistics: - Duration: Full-time/Contract (Start: ASAP). - HackerRank: Yes. - Location: Fully remote (occasional quarterly team workshops/gatherings likely in Prague). - Hours: Strict US overlap required (2:00 PM – 11:00 PM CET). - Contract: B2B only — we only accept contractors with a valid EU VAT number verifiable in VIES (VAT Information Exchange System). Data Engineering & Cloud: - Databricks: Hands-on experience with Databricks Jobs, Delta Lake, etc. - Storage & Databases: PostgreSQL (SQL proficiency), Redis, Azure Blob Storage. - Cloud Infrastructure: Azure ecosystem (Service Bus, Blob Storage, Key Vault). Backend Architecture & Distributed Systems: - Core Python: Python 3 (async/await, type annotations, Pydantic). - APIs: FastAPI for building production REST services. - Distributed Task Queues: Deep Celery experience (operating background workers and scaling strategies via Redis or RabbitMQ). - Messaging: RabbitMQ, Azure Service Bus. AI Orchestration & Tooling: - AI Systems: Backend integration for AI features, agentic pipelines, and Model Context Protocol (MCP) servers. - Modern Development: Docker (multi-core container optimization), Claude Code, Cursor, Spec-Driven Frameworks. Nice-to-Have: - Observability: Datadog for system-wide monitoring. - Infrastructure: Kubernetes deployments. Candidate Profile & Soft Skills: - Engineering Resilience: Thrives under pressure, adapts to fast-moving requirements, and consistently delivers on tight timelines. - System Architect: Proven capability in designing highly concurrent, scalable backend systems and resilient API services.
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