Role overview

We are looking for a Senior Software Engineer who wants to apply their engineering expertise to a fast-evolving AI landscape. This role is not focusing on research only, you’ll be building production-grade systems, APIs, and integrations that power our products and support large-scale and high-performance features.

If you enjoy writing clean, efficient Python, architecting scalable backend systems, optimizing data flows, and integrating complex services and protocols (such as MCP servers, external APIs, or internal microservices) into existing platforms, we’d like to meet you.

What will I be doing?

Engineering & Architecture

• Design and implement robust Python backend services that connect our survey platforms with advanced processing capabilities.
• Develop and maintain custom MCP (Model Context Protocol) servers and secure API layers.
• Ensure reliability, scalability, and observability across systems that integrate with third party AI models.

Integration & Implementation

• Write production-grade code supporting the full survey lifecycle—including authoring, data collection, and analytics.
• Turn experimental prototypes into stable, maintainable product features.
• Implement secure authentication, authorization, and data-handling patterns for service integrations.

Continuous Improvement

• Evaluate new frameworks and libraries for potential inclusion in our engineering stack.
• Refactor and optimize existing codebases to support modern, event-driven architectures.
• Collaborate with cross-functional teams to operationalize new tools and ensure they meet engineering standards.

What do I need to bring with me?

• 5+years' experience in Python backend development using frameworks like Fast API, Flask, or Django, with solid software design principles (SOLID, DRY).
• Proven experience building and consuming RESTful APIs, managing authentication (OAuth/JWT), and implementing event-driven workflows.
• Hands-on experience integrating LLMs or AI APIs (e.g., OpenAI, Anthropic) into applications. Comfortable working with AI inputs and outputs without training models directly.
• Familiarity with frameworks like Lang Chain or protocols such as MCP, or readiness to adopt them quickly.
• Practical understanding of CI/CD pipelines, Docker, and cloud-based deployment and infrastructure management.

What is in it for me?

• Flexible & Hybrid working
• Flexible Benefits platform (e.g.: 7Card, Kindergarten support and many more)
• Additional Vacation days (starting 25 days)
• Referral & Seniority bonus
• Gifts and events on festive days of the year
• Bookster
• Employee Assistance Program
• Rewarding program
• Opportunities for professional growth
• Online Learning Platform
• Productive & collaborative atmosphere
• Social and environmental responsibility

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