Python Cloud AI Engineer

At Grape Up, we’re all about leveraging technology to drive software innovation. We’re on the lookout for a talented Python Cloud AI Engineer to join us in this mission. We partner with industry leaders in the automotive and aviation to build sophisticated Data & Analytics platforms that support production machine learning and AI use cases.

As part of our team, you’ll have the opportunity to design and implement mission‑critical services that handle everything from AI model governance to MCP gateway. Your work will integrate with key systems, forming the backbone of an entire AI enterprise ecosystem.

Responsibilities

• Design and build cloud‑native applications using Python with FastAPI and AWS services
• Integrate with various AI cloud services (like AWS Bedrock, Azure Foundry or Google Vertex AI)
• Design and operate modern AI infrastructure that brings frontier LLMs, MCP, and agentic capabilities into the hands of every developer and user in the company
• Ensure the code is robust, clean, and well‑tested with unit and integration tests
• Participate in code reviews, share knowledge, and collaborate with an international, cross‑functional team
• Be an active participant in agile ceremonies and drive every sprint to success
• Drive team efficiency by bringing in effective tools, refining processes, and offering technical mentorship

Requirements

• Proficiency in Python for web development (5+ years)
• Very good knowledge of REST API
• Hands‑on experience with unit and integration testing, and mocking libraries
• Practical experience with AWS services (e.g. Lambda, S3, API Gateway, DynamoDB)
• Very good knowledge of Terraform
• Very good understanding of Continuous Integration processes and their importance
• Very good understanding of software development methodologies and agile
• Ability to gather and interpret business requirements and UX aspects effectively
• Good command of English and Polish (B2+/C1)

Nice to have

• Experience with microservices architecture, including design, implementation, and maintenance
• Experience with AI platforms and services
• Knowledge of building tools (Webpack)
• Experience with writing automation tests