Developer Experience Engineer

Tulip Interfaces; Boston (MA); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Dental benefits

Vision benefits

Short-term disability

Long-term disability

Life insurance

AD&D insurance

FSA

Commuter benefits

Parental leave

401(k) plan

Flexible schedule

Unlimited vacation

Learning & Development

Virtual events

Fitness subsidy

Dog-friendly office

Job summary

Tulip Interfaces is seeking a senior software engineer to help design and ship internal tooling for an agentic AI platform used by our engineers. You will work across the stack, from API design to frontend experiences, and collaborate with product and infrastructure teams to deliver reliable, scalable tools for developers.

You'll apply your 5+ years of software engineering experience, strong TypeScript skills, and hands-on AI/LLM knowledge to empower engineers, improve productivity, and

Qualifications

• 5+ years of software engineering experience, ideally focused on developer tooling or internal platforms.
• Hands-on experience building with AI/LLMs and shipping agentic solutions.
• Proven ability to build internal tools for engineers and balance build vs buy decisions.
• Collaborator who earns trust with engineers and ships adoptable tools.
• Strong full-stack proficiency, TypeScript, API design and integration.
• Deep hands-on experience with LLMs, prompt engineering, agent frameworks, RAG.
• Production experience with AWS, CI/CD, and AI safety in code execution.
• Interest in developer experience fundamentals and tooling as a product.
• Bachelor's degree in Computer Science, Engineering, or equivalent.

Responsibilities

• Partner with engineering teams to identify high-leverage AI opportunities in the workflow.
• Build and maintain the internal agentic AI platform: skills, plugins, MCP servers, integrations.
• Own architecture and standards for evaluating and deploying agents and model releases.
• Improve onboarding, docs, and discovery to help engineers find AI tools.
• Stay updated on agentic AI trends to shape internal standards and roadmap.
• Contribute to AI enablement programs, office hours, and change management.
• Measure adoption and impact of internal AI tooling and prioritize next features.

Skills

Software engineering

AI/LLMs

Tooling for engineers

API design

Full-stack TS

DevX / internal tooling

Collaboration

Security awareness

AWS

CI/CD

Prompts & LLMs

Education

BS Computer Science

Tools

RESTful APIs

MCP servers

CI/CD tooling

AWS

Job description

About You

You've built tools that engineers rely on. You think agentic AI and developers working together is one of the most interesting opportunities of this decade, and you want your fingerprints on the tools, standards, and platform that make that possible here. You understand the full process of shipping an agent into production: prompting, tool and MCP design, reliability, evals, the UX of human-AI handoffs, and the plumbing in between.

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
• Meaningful hands-on experience building with AI/LLMs and shipping agentic solutions. Whether that's a career focus, or a more recent but deep pivot into the space
• 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 proficiency (TypeScript and related ecosystem), deep familiarity with API design and integration (RESTful services, MCP, and similar), and comfort working across a modern engineering tech stack
• Deep hands-on experience with LLMs, prompt engineering, agent frameworks, RAG, and tool-use/function-calling patterns.
• Production experience with AWS, modern CI/CD practices, 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.
• Build and maintain the internal agentic AI platform engineers rely on daily: skills, plugins, MCP servers, and integrations across our tech stack (source control, CI/CD, observability, ticketing, and more)
• Own foundational architecture and standards for how agents and model releases 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 AI tools (skills catalogs, guides, internal wikis) rather than reinventing them
• Stay plugged into agentic AI and developer-tooling trends externally to shape internal standards and roadmap decisions
• Meaningfully contribute to organizational AI 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 company events and happy hours
• Fitness subsidies
• An inclusive, dog-friendly office with diverse and inspiring colleagues

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 $130,000 - $180,000 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.