Senior Python Engineer with AI (PwC – AI-native Platform)

Project

Build PwC's next-generation AI-native platform using agentic pipelines, MCP servers, and LLM orchestration to scale professional services automation.

• 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)

Technical Stack & Core Responsibilities

1. Data Engineering & Cloud (Must-Have)

• 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)

2. 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

3. 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

4. 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