Internal AI Engineer

Tulip Interfaces • Somerville, MA

6d • Hybrid

About The Position

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 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, and Israel. 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're a technically sharp engineer who gets excited about turning LLM capabilities into real, production-grade tools that transform how teams work. You thrive in ambiguity – equally comfortable translating business needs into action items and prototyping a new agent framework. You think end-to-end, from identifying the high-leverage automation opportunity all the way through to shipping something colleagues actually depend on. You move fast, set a high technical bar, and bring others along with you.

Requirements

• 7+ years of software engineering experience, with demonstrated ownership of complex, production-grade systems
• Experience building internal tools or developer-facing products that bridge technical capabilities and non-technical users
• Ability to partner with business leads to decode operational needs into developer-ready requirements
• Strong proficiency in Typescript, and familiarity with API design and integration (RESTful services).
• Hands-on experience with LLMs, prompt engineering, agent frameworks, and RAG architectures — ideally in a production environment
• Production experience with cloud platforms (AWS or GCP), modern CI/CD practices, and AI safety and security considerations
• Bachelor's degree in Computer Science, Engineering, or equivalent working experience

Responsibilities

• Partner with teams across the company to identify high-impact AI opportunities, translating business needs into robust, intelligent solutions
• Create intuitive interfaces that make advanced AI accessible to non-technical users across the organization
• Set technical standards and patterns for AI/LLM development at Tulip, informally mentoring and enabling other engineers as the practice grows
• Build internal tools and practices for functions across the company, enabling teams across all areas of the business to leverage AI optimization
• Design and build Tulip's internal AI agent platform from the ground up, establishing the technical foundation for how LLM-based agents are developed, deployed, and maintained at scale
• Develop and iterate on AI agents that automate workflows across engineering, operations, customer success, finance, and business development
• Build secure, scalable agent orchestration systems that integrate with Tulip's existing tech stack — including CRMs, data warehouses, communication tools, and proprietary platforms

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees