AI Enablement Engineer (Developer Experience)

• 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

Benefits

• Impactful Work: Have a direct impact on product and culture
• Work/Life Balance: Flexible work and unlimited vacation policy, virtual company events and happy hours
• Additional Perks: Commuter benefits, a work-from-home stipend, fitness subsidies
• Competitive Benefits: Healthcare, Dental, Vision, Short-term Disability, Long-term Disability, Health Reimbursement Account (HRA)
• Family-Friendly Policies: Parental Leave, 401K & Life Insurance
• Employee-Led Communities: Parents@Tulip, Hey Lady, Allies@Tulip and more- 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’re technically sharp and deeply curious about developer workflows; you want to understand why something slows engineers down, not just what feature to ship
• 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 all the plumbing in between
• You find the highest-leverage thing, move fast, and bring engineers with you
• You excel on a small team that can move fast and have direct influence over how engineers at the company work day to day
• You thrive when the problem is fuzzy and the timeline is tight
• You’re not here to watch it happen, you’re here to build it
• You’re a builder who’s been inside the LLM/agentic AI world, and you’ve turned that experience into tools that engineers rely on
• Deep hands-on experience with LLMs, prompt engineering, agent frameworks, RAG, and tool-use/function-calling patterns
• 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
• 5+ years of software engineering experience, ideally with a focus on developer tooling, platform engineering, or internal-facing/DevX systems
• 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
• 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
• 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
• A natural collaborator who earns trust with engineers quickly, understands real engineering pain points, and co-creates solutions that get adopted rather than shelved
• 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