Software Engineer (Agentic AI)

Tulip Interfaces

Somerville (MA)

On-site

USD 100,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Company equity
Competitive benefits package
Unlimited vacation policy

Job summary

Tulip Interfaces seeks a Software Engineer to design and build AI agentic features in a hybrid work environment. Located in Somerville, MA, this role involves integrating with existing product capabilities, utilizing strong TypeScript expertise.

The ideal candidate has 3–5+ years in software engineering and experience with LLM APIs. Benefits include equity, competitive packages, and unlimited vacation.

Qualifications

  • 3–5+ years of software engineering experience, ideally at a SaaS or enterprise software company.
  • Strong proficiency in TypeScript; ReactJS experience is a plus.
  • Hands-on experience integrating LLM APIs, including streaming responses.

Responsibilities

  • Design and build AI agentic features that integrate with existing product capabilities.
  • Write clean, well-tested, and maintainable TypeScript code.
  • Evaluate and integrate LLM-based components.

Skills

Software engineering experience
Proficiency in TypeScript
ReactJS experience
Experience integrating LLM APIs
Knowledge of API design and RESTful services
Unit and integration testing

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, 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 builder at heart — someone who thrives on pushing product forward and finding elegant solutions to hard problems. You have a product mindset and genuine empathy for the end user, which means you don’t just ship features, you think about how they land. You have a deep curiosity for AI agentic patterns and are eager to architect novel user experiences around these capabilities. You’re comfortable moving across a large technology stack and energized by the pace of a team that’s actively shaping what AI looks like in industrial environments.

What skills or experience do I need?
  • 3–5+ years of software engineering experience, ideally at a SaaS or enterprise software company
  • Strong proficiency in TypeScript; ReactJS experience is a plus
  • Hands-on experience integrating LLM APIs (e.g., Anthropic, OpenAI), including streaming responses and structured outputs
  • Working knowledge of agentic patterns: MCP, tool invocation, and multi-step reasoning
  • Familiarity with API design and RESTful service integration
  • Proficiency in unit and integration testing, debugging, and code quality practices
Key Responsibilities
  • Design and build AI agentic features that integrate with existing product capabilities and deliver meaningful user experiences
  • Write clean, well-tested, and maintainable TypeScript code across the stack
  • Evaluate, integrate, and extend LLM-based components including tool invocation, structured outputs, and multi-step reasoning flows
  • Collaborate with Product and Design to translate user needs into technical requirements and system designs
  • Debug, troubleshoot, and continuously improve the reliability and performance of agentic systems
  • Contribute to technical documentation and share findings across the team to raise collective understanding of AI patterns
Key Collaborators
  • Engineering
  • Product Design
  • Product Management
Working At Tulip

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, FSA, Commuter Benefits, Parental Leave, and 401(K)
  • Flexible work schedule and unlimited vacation policy
  • Virtual company events and happy hours
  • Fitness subsidies
  • Dog-friendly office

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 $100,000 - $150,000 per year based on a level 2 (minimum) to a level 3 (maximum). The final level will be determined during the interview process.

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.

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