DevX Engineer

Key Responsibilities

• Partner with engineering teams to identify the highest-leverage AI opportunities in the developer workflow: from code generation and review to testing, debugging, and internal tooling.
• Own foundational architecture and standards for how agents model releases, and internal tools are evaluated, and deployed internally: including reliability, evals, efficiency, and secure tool access patterns
• Build and improve the onboarding, documentation, and discovery layer that helps engineers find and adopt the right tools (skills catalogs, guides, internal wikis) rather than reinventing them
• Stay plugged into Developer tooling trends externally to shape internal standards and roadmap decisions
• Meaningfully contribute to organizational enablement for engineering, including internal learning programs, office hours, and change management as new tools roll out
• Instrument and measure adoption and impact of internal AI tooling, and use that data to prioritize what to build next

Key Collaborators

• Product Engineering Teams AKA Our Customers
• Infrastructure & DevOps Teams
• QA

About You

You've built tools that engineers rely on. You’re deeply familiar with the day-to-day challenges developers face, from local development to automated testing, deployments and CI/CD. You understand the potential that Agentic AI presents towards enhancing these processes and are enthusiastic about getting your hands on the tools, and developing scientific processes to accelerate the work of your fellow engineers.

What skills do I need?

• 5+ years of software engineering experience, ideally with a focus on developer tooling, platform engineering, or internal-facing/DevX systems
• Proven ability to build internal tools that make powerful AI capabilities accessible to engineers, including the judgment to know when to build vs. buy, and when to standardize vs. let teams experiment
• A natural collaborator who earns trust with engineers quickly, understands real engineering pain points, and co-creates solutions that get adopted rather than shelved
• Strong full-stack TypeScript proficiency, deep familiarity with API design and integration (RESTful services, MCP, and similar), and comfort working across a modern engineering tech stack
• Production experience with AWS, CI/CD using Github Actions or similar tool, and a genuine understanding of AI safety and security, especially around code execution and access to internal systems
• Experience with or strong interest in developer experience fundamentals: reducing friction, measuring engineering productivity, and treating internal tooling like a product with real users
• Bachelor's degree in Computer Science, Engineering, or equivalent work experience

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered.

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Private Healthcare insurance
• Company equity
• Virtual company events and happy hours
• Flexible work schedule and unlimited vacation policy
• Team Lunches in KFT Hub and office snacks
• Learning & Development benefits
• HU Eyeglass Benefit
• An inclusive, dog-friendly office with diverse and inspiring colleagues

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.

This role is located in Budapest, HU - We are a hybrid work environment and are in the office 3+ days/per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, Israel and Japan. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”