# AI Engineer

**Company:** [Tulip](https://hotfix.jobs/companies/tulip)
**Location:** Somerville, MA
**Role:** ML Engineering
**Experience:** 5+ years
**Skills:** TypeScript, LLMs, Prompt Engineering, Agent Frameworks, RAG, AWS, GCP, REST APIs, CI/CD, Ai Safety
**Posted:** 2026-06-24

> Build and ship production AI agents and internal tools that automate workflows for non-technical teams. Partner with business stakeholders to identify high-ROI opportunities and architect the company's agentic AI platform.

## Job Description

## Key Responsibilities
- Partner seamlessly with business teams to identify the highest-leverage AI opportunities across Tulip and co-design, build, and launch them — translating messy business problems into elegant, ROI-driven agentic solutions
- Build and ship AI agents that non-technical teams love using — automating workflows for efficiency and to unlock new team capabilities
- Assist in architecting and building the agentic AI platform that powers our company internally — from foundational architecture and standards to secure, scalable integrations across our entire tech stack
- Stay plugged into agentic AI trends externally to shape Tulip’s internal AI strategy
- Meaningfully contribute to organizational AI enablement, including learning programs, coaching, and change management efforts

## Requirements
- 5+ years of relevant experience (software engineering with hands-on AI/LLM experience, delivering AI solutions inside of a company, or to clients in a consulting environment)
- Proven ability to build internal tools that make powerful technology accessible to non-technical users — including the judgment to know when to build vs. buy
- A natural relationship builder who earns trust with business leads quickly, gets to the root of operational problems, and co-creates solutions that actually get adopted
- Comfort with owning a full stack (e.g., strong proficiency in Typescript or similar, familiarity with API design and integration (RESTful services or similar)
- Deep hands-on experience with LLMs, prompt engineering, agent frameworks, and RAG — ideally built and shipped in production
- Production experience with AWS or GCP, modern CI/CD practices, and a genuine understanding of AI safety and security
- Bachelor's degree in Computer Science, Engineering, or equivalent work experience

## Nice-to-Haves / Preferred
- Experience working with Engineering, Operations, Go To Market, Finance, People, IT, and Data teams

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