AI Engineer – Internal Automation (Forward Deployed)

feverup; United States; Hybrid; USD 122,000 - 166,000; Full time

Benefits offered by this job

Stock options plan

Health insurance

Language lessons (English & Spanish)

Wellness platform membership

Earned wages access

Significant discount on events on the

Job summary

FeverUp is seeking a senior, hands-on software engineer to drive an internal AI transformation. You will work directly with Operations, Creative and Support to identify automation opportunities and design, build, and ship end-to-end solutions in a highly autonomous role.

You will own your roadmap, ship prototypes through production, and measure adoption signals to iterate. The role requires strong Python, APIs, and AWS experience and comfort with ambiguity in a fast-paced environment in Madrid.

Qualifications

• Six or more years of professional software engineering experience, including production work shipping AI systems.
• Strong ownership of at least one project end-to-end as sole builder, from discovery to rollout.
• Solid foundations in Python, APIs, microservices, databases, and AWS.

Responsibilities

• Embed with internal teams to observe workflows and surface automation opportunities grounded in real pain points.
• Design and deliver production AI systems, including large language model apps and retrieval-augmented pipelines.
• Own the complete lifecycle from discovery to deployment and adoption, without handing work off to another team.
• Track reclaimed time and measure adoption signals to iterate.
• Prioritize independently and drive projects to completion.

Skills

Python

APIs

Microservices

Databases

AWS

LangGraph

LlamaIndex

Agentic workflows

End-to-end ownership

Production AI

Tools

LangGraph

LlamaIndex

Job description

Role overview

This is a senior, hands-on individual contributor role focused on driving an internal AI transformation by working directly alongside business teams. The position is embedded with groups such as Operations, Creative, and Support to uncover where artificial intelligence can meaningfully reduce manual work, then design, build, and ship the solution end-to-end. The engineer operates with significant autonomy, owning their own roadmap and outcome rather than working from a pre-defined backlog.

Responsibilities

• Spend time embedded with internal teams to observe real workflows and surface genuine automation opportunities grounded in day-to-day pain points rather than speculative specifications.
• Design and deliver production AI systems, including large language model applications, agentic workflows, retrieval-augmented generation pipelines, chatbots, and broader automated processes.
• Own the complete lifecycle from problem discovery and prototyping through deployment and adoption, without handing work off to another team.
• Track the time and effort reclaimed by users, then iterate based on actual adoption signals and feedback.
• Prioritize independently: identify what matters, decide what to build next, and drive it to completion.

Requirements

• Six or more years of professional software engineering experience, including production work shipping AI systems using frameworks such as LangGraph or LlamaIndex, agentic workflows, or comparable tooling.
• Demonstrated history of owning at least one project end-to-end as a sole builder, covering discovery, implementation, and rollout.
• Solid engineering foundations across Python, APIs, microservices, databases, and AWS.
• Ability to navigate ambiguity by independently determining what to build within a business domain, without waiting on a detailed brief.
• Strong communication skills for translating messy manual processes into clear technical proposals and bringing non-technical stakeholders along.

Nice to have

• Background operating as part of a small enablement or platform squad where collaboration is daily but domain ownership is individual.

Benefits and work setup

• Base salary combined with a performance-linked bonus structure and eligibility for a stock options plan.
• Health insurance plus a flexible remuneration arrangement that allows tax-efficient allocation of certain benefits.
• Language lessons in English and Spanish, a wellness platform membership, and early access to earned wages.
• Significant discount on events and experiences hosted on the platform.
• Office located in Madrid, with a hybrid expectation of at least three days per week on-site and additional remote flexibility.