About the role
I’m helping Staffinit find a top candidate to join their team full-time for the role of Senior Python Engineer With AI (PwC – AI-Native Platform) .
You'll scale professional services by architecting next-generation AI-native agentic platforms.
Compensation:
EUR 20 - 35/hour
Location:
Remote (specific timezones) - GMT-02:00 to GMT+06:00
Mission of Staffinit:
"Our mission: to connect talent and empower businesses. We work with clients across industries, helping them build teams that make a difference and supporting professionals in finding roles where they can thrive. At our core, we combine deep recruitment expertise with a human-centered approach—ensuring that each placement aligns skills, culture, and ambition."
What makes you a strong candidate:
- You are proficient in Redis, Python, Professional Services Automation, PostgreSQL, Docker, Cursor.
- English
- Conversational
Responsibilities and more:
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.
Your potential leader:
- Piotr Chabros - Digital entrepreneur, board member, and CEO.
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