Senior AI Engineer — Internal Automation (Hybrid Madrid)

feverup; United States; Hybrid; USD 104,000 - 127,000; Full time

Benefits offered by this job

Base salary + bonus

Stock options

Health insurance

Language lessons

Wellness platform

Earned wages access

Event discounts

Madrid hybrid on-site

Job summary

feverup seeks a senior software engineer to lead an internal AI transformation. You will work directly with Operations, Creative, and Support to uncover automation opportunities, then design, build, and ship end-to-end AI solutions with significant autonomy.

You will own projects from discovery to rollout, shipping production AI systems and agentic workflows while measuring impact through adoption signals and user time saved.

Qualifications

• Six+ years of professional software engineering experience, shipping AI systems.
• Proven track record owning end-to-end projects as sole builder.
• Strong Python, APIs, microservices, databases, and AWS foundations.
• Ability to navigate ambiguity and define what to build with minimal briefs.
• Excellent communication with non-technical stakeholders.

Responsibilities

• Embed with internal teams to observe workflows and surface automation opportunities.
• Design and deliver production AI systems including LLM apps, agentic workflows, and retrieval pipelines.
• Own the complete lifecycle from discovery through deployment and adoption.
• Track time reclaimed by users and iterate based on adoption signals.
• Prioritize independently and drive initiatives to completion.

Skills

Python

APIs

Microservices

AWS

LangGraph/LlamaIndex

AI Systems

Tools

Python

Job description

feverup seeks a senior software engineer to lead an internal AI transformation. You will work directly with Operations, Creative, and Support to uncover automation opportunities, then design, build, and ship end-to-end AI solutions with significant autonomy.

You will own projects from discovery to rollout, shipping production AI systems and agentic workflows while measuring impact through adoption signals and user time saved.