Lead AI Engineer

feverup; United States; Hybrid; USD 77,000 - 122,000; Full time

Benefits offered by this job

Health insurance

Flexible benefits

Fitness membership

Language lessons

Discounts on events

Job summary

FeverUp is seeking a Lead AI Product Engineer to drive discovery and development of internal AI solutions that reduce manual work for business teams. The role blends stakeholder engagement with hands-on engineering: designing, coding, and deploying AI applications such as agents, chatbots, and automated workflows.

You will lead a small engineering team, shaping products from exploration to production and adoption, while owning internal tools end-to-end.

Qualifications

• Strong Python skills and interest in building AI products used by business teams.
• Hands-on experience delivering AI systems to production, preferably LLM apps or agent-based workflows.
• Ability to analyse messy processes and identify software-driven time savings.

Responsibilities

• Collaborate with operations, creative, and support teams to observe current processes and identify AI opportunities.
• Translate pain points into product requirements and set realistic expectations for AI capabilities.
• Design and build production AI systems including LLM apps, agent-based workflows, RAG solutions, chatbots, and automation.
• Lead and mentor a small engineering team while contributing to code and setting quality standards.
• Own internal tools from discovery through deployment and adoption by non-technical users.

Skills

Python

AI product leadership

Stakeholder collaboration

Production AI systems

Tools

AWS

APIs

Microservices

Databases

Cloud infrastructure

Job description

Role overview

Lead the discovery and development of internal AI products that reduce manual work across business teams. The position is split between understanding operational needs with stakeholders and hands-on engineering: designing, coding, and deploying AI applications such as agents, chatbots, retrieval-augmented systems, and automated workflows. It also leads a small engineering team and takes products from early exploration through production and adoption.

Responsibilities

• Work with teams in areas such as operations, creative, and support to observe current processes and identify practical opportunities for AI.
• Turn operational pain points into product requirements, set expectations about AI capabilities, and align work with stakeholder needs.
• Design and build production AI systems, including LLM applications, agent-based workflows, RAG solutions, chatbots, and automation.
• Lead and mentor a small team while contributing directly to its codebase and setting engineering quality standards.
• Own internal tools through discovery, prototyping, deployment, and adoption by non-technical users.

Requirements

• Strong Python skills and a genuine interest in both building AI products and working closely with people who will use them.
• Hands-on experience delivering AI systems to production, ideally LLM applications, agentic automation, or tools that improve human workflows.
• Ability to analyse messy manual processes and identify where software could save meaningful time.
• Solid software engineering experience with APIs, microservices, databases, and cloud infrastructure, particularly AWS.
• Strong communication and relationship-building skills, including working through ambiguity with non-technical stakeholders.

Benefits and work setup

• Based in Spain, with a home-office-friendly setup and a Madrid base.
• Base salary with potential performance bonus and stock options.
• Health insurance, flexible benefits, fitness membership, language lessons, and discounts on events and experiences.