Role Description You’ve spent years building systems, APIs, automations, and integrations. But you also love GTM, marketing, sales, funnels, and growth. You care about what converts, not just what works. You’re the kind of engineer who opens Claude before Stack Overflow, connects tools for fun, and constantly experiments. At ShippyPro, you’ll join the Engineering Team and work with Product, Marketing, and Sales to build the systems behind how we acquire, convert, and scale customers globally. This is engineering applied to growth. Qualifications - Several years of engineering experience - Strong interest in GTM, marketing, sales, and growth systems - Experience with APIs, integrations, automations, and internal tooling - Builder mentality — you prefer shipping over overthinking - Strong curiosity around AI workflows, agents, MCP ecosystems, and LLM-powered operations - Fast execution and experimentation mindset - Comfort working in ambiguity and moving quickly Requirements - Build internal GTM tools, automations, and workflows - Connect APIs across CRM, product, analytics, marketing, and outbound systems - Develop AI-powered workflows and agents - Experiment with MCP servers, integrations, and AI tooling - Improve attribution, funnel visibility, and lifecycle operations - Support rapid experimentation across acquisition and conversion initiatives - Identify inefficiencies and solve them through engineering Benefits - Competitive salary between €29,000 and €35,000, calculated through our salary simulator – built on objective metrics, because we believe in unbiased compensation - Meal vouchers (office or remote) - Mental healthcare - Yearly learning budget and AI tools - Remote flexibility with expenses-paid trips to HQ for team meetups - No clock-in/out policy and one-time home office allowance - Birthday Time Off – one extra day off, just for you - Career Growth Program – clear growth paths, structured goals, and continuous feedback - An international team that moves fast and cares about building things well

Role Description We are looking for highly analytical engineers and technical domain experts to contribute to advanced AI evaluation and benchmarking projects focused on realistic terminal-based and infrastructure-heavy workflows. In this role, you will design technically challenging tasks that evaluate how AI systems reason through debugging, operational failures, complex workflows, and multi-step problem-solving scenarios. The ideal candidate has strong experience working with production systems, debugging, automation, or large-scale engineering workflows, and can design realistic technical challenges that simulate real-world engineering environments. This role is particularly well suited for professionals with backgrounds in backend engineering, infrastructure, DevOps, data systems, MLOps, cybersecurity, or platform engineering. - CONTRACT: Contractor assignment (5 weeks) - COMMITMENT: Full-time (40h/week) or Part-time (20h/week) with minimum 4h PST overlap - LOCATION: Remote — Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam - PROCESS: One technical assessment/interview (~45 min) Responsibilities - Design realistic terminal-based benchmark tasks for AI evaluation systems - Create technically deep debugging and investigation scenarios - Develop task specifications involving infrastructure, workflows, pipelines, or operational failures - Write clear solution approaches and deterministic evaluation criteria - Identify realistic edge cases, failure modes, and system constraints - Design multi-step reasoning challenges across complex technical environments - Contribute expertise across one or more engineering or operational domains - Review and refine benchmark quality, difficulty, and validation logic - Collaborate with reviewers and researchers on AI evaluation workflows Qualifications - 3–10 years of experience in software engineering or related technical domains - Strong debugging, analytical, and systems reasoning skills - Good understanding of system architecture, dependencies, and operational processes - Experience with terminal, CLI, automation, or developer tooling workflows - Exposure to AI systems, LLMs, benchmarking, or evaluation frameworks is preferred - Ability to design technically rigorous and realistic engineering scenarios

• Develop and maintain scalable software features and applications • Assist in building and improving management software systems • Test, debug, and troubleshoot applications • Monitor and maintain system stability and performance • Collaborate with the team on product enhancements • Participate in code reviews and contribute to development best practices • Integrate and maintain APIs and frontend/backend components • Document technical processes and workflows

• Develop responsive web applications. • Create intuitive interfaces for laptops, monitors, tablets, and mobile devices. • Build real-time monitoring dashboards displaying vital signs and activity levels. • Implement alert systems and notification interfaces. • Design user-friendly interfaces for care task management and compliance tracking. • Develop record digitalization interfaces. • Design and implement RESTful APIs for system integration. • Develop microservices architecture for data processing. • Integrate with AI computer vision systems for fall detection and behavior analysis. • Build secure data processing pipelines for wearable device data. • Implement real-time alert generation and routing systems. • Develop integration layers for camera systems. • Create APIs for BLE hub integration and smart band data collection. • Integrate with existing facility platforms and systems. • Implement SDK integrations for camera systems and wearable devices. • Develop secure APIs for multi-device access across the network. • Build data synchronization systems between facilities. • Implement GDPR-compliant data handling and privacy protection. • Implement trend analysis and early warning indicators. • Build comprehensive reporting systems for care documentation. • IoT device integration and BLE connectivity. • Camera system integration and computer vision APIs. • Wearable device data processing and analysis. • Real-time data streaming and processing.