DevX Engineer- AI Enablement

Tulip Interfaces; Somerville (MA); Hybrid; USD 125,000 - 175,000; Full time

Benefits offered by this job

Health, Dental, Vision

Short-term Disability

Long-term Disability

Life Insurance

AD&D Insurance

FSA

Commuter Benefits

Parental Leave

401(K)

Company equity

Job summary

Tulip is a hybrid, Somerville-based workplace building AI-native developer tooling and internal platforms for engineering teams. The role shapes the architecture, tooling strategy, and adoption of AI-powered capabilities across code generation, testing, and deployment workflows.

You will partner with product engineering, infrastructure, and QA to define standards, improve onboarding, and measure impact, while advancing security and ease-of-use for engineers.

Qualifications

• 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
• A natural collaborator who earns trust with engineers quickly, understands real engineering pain points, and co-creates solutions
• Strong full-stack TypeScript proficiency, deep familiarity with API design and integration
• Production experience with AWS, CI/CD using Github Actions or similar tool, and a genuine understanding of AI safety and security
• 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

Responsibilities

• Partner with engineering teams to identify the highest-leverage AI opportunities in the developer workflow
• Own foundational architecture and standards for how agents model releases, and internal tools are evaluated, and deployed internally
• Build and improve the onboarding, documentation, and discovery layer that helps engineers find and adopt the right tools
• 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

Skills

5+ years dev experience

Internal tooling

Collaborative mindset

TypeScript full-stack

AWS & CI/CD

Developer experience focus

BS CS or equivalent

Education

BSc in CS/Engineering or equivalent

Tools

AWS

GitHub Actions

Job description

This role is located in Somerville, MA - 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.”

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

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

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
• Company equity
• Competitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&D Insurance, Flexible Spending Account (FSA), Commuter Benefits, Parental Leave, and 401(K)
• Flexible work schedule and unlimited vacation policy
• Learning & Development program
• Virtual and in-office global company events and happy hours
• Fitness subsidies
• An inclusive, dog-friendly office with diverse and inspiring colleagues

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.

The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range posted, actual compensation will be determined depending on multiple factors including job-related knowledge & skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is $125,000-$175,000 per year.

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.