Why This Job is Featured on The SaaS Jobs
Internal AI engineering is becoming a distinct track inside SaaS companies as LLM capabilities move from product features into day to day operations. This role sits squarely in that shift, focusing on internal platforms and tooling rather than customer facing functionality. In a cloud native, no code SaaS business with embedded AI, the mandate to turn models into dependable workflows is closely tied to how teams ship, support, and run the business.
The career upside is breadth paired with systems depth. Building an internal agent platform from the ground up touches core SaaS concerns like secure integrations, API design, reliability, and CI/CD, while also forcing practical decisions about evaluation, governance, and safety for AI in production. Experience translating operational needs into software that non technical teams depend on tends to transfer well across SaaS functions, especially as internal automation becomes a standard lever for efficiency and consistency.
This is best suited to an experienced engineer who enjoys ambiguous problem spaces and end to end ownership, from identifying high leverage use cases to shipping maintainable systems. It also fits someone comfortable influencing engineering standards informally, partnering across departments, and balancing rapid prototyping with production rigor in a hybrid, in office collaboration model.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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 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.
What Skills Do I Need?
- 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
Key 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
Key Collaborators
- Engineering, Operations, and Customer Success teams
- Finance and Business Development
- IT and Data leadership
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
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 $145,000 - $190,000 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.
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