Software Engineer, Agentic AI

About the role

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?

- 2-3+ 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