Fever Up

2 months ago

Lead AI Product Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead Fever’s AI transformation by building and guiding small, high‑performance teams to ship production AI products across multiple business domains. You’ll design end‑to‑end AI systems (LLMs, agents, retrieval, orchestration) and partner with senior leaders to translate AI capabilities into high‑leverage business outcomes, while shaping Fever’s AI engineering standards and governance.

Location: Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead Fever's AI transformation across multiple business domains, identifying where AI can unlock the largest impact and shaping the roadmap to get there.
•Build and lead small, high‑performance specialist teams — embedding with business stakeholders to ship AI products end‑to‑end, from problem framing to production.
•Design and ship advanced AI systems combining LLMs, agents, retrieval, and orchestration layers, optimized for real business outcomes with high‑volume, low‑latency production workflows.
•Define best practices for AI engineering at Fever: evaluation, observability, cost control, prompt and model governance, safety, and long‑term maintainability.
•Hire, mentor, and grow AI engineers, fostering a culture of ownership, craftsmanship, and high velocity.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceEquityHybrid Work

Key Requirements

•Strong software engineering foundations with hands‑on experience in Python, building scalable production systems (event‑driven architectures, microservices, APIs, databases).
•Deep, hands‑on experience designing and shipping AI systems in production — LLM applications, agentic workflows, RAG, fine‑tuning, or orchestration frameworks (LangGraph, LlamaIndex, DSPy, or similar).
•Solid grasp of the modern AI stack: foundation model APIs (OpenAI, Anthropic, Google), vector databases, evaluation frameworks, prompt engineering, and inference optimization. Comfortable with AWS, Docker, Kubernetes, CI/CD, and observability tooling for AI workloads.
•Strong product sense and stakeholder management skills — ability to navigate ambiguity, prioritize ruthlessly for impact, and align engineering work with business goals.
•Track record of leading projects across multiple teams and of hiring, mentoring, and growing engineers.

Experience:AiSoftwareEnterprise

Skills:PythonAILLMsAPIsMicroservicesCloud

Languages:English

Tech Stack:PythonAWSDockerKubernetesCI/CDLangGraphLlamaIndexDSPyOpenAIAnthropicGoogleVector databasesLLMAgentRetrievalOrchestration

Company Brief

Fever Up

Fever is a global events discovery and ticketing platform that curates and sells experiences, from immersive theatre and pop-ups to concerts and local activities, helping venues and organizers reach audiences worldwide.

Industry: Events & Live Entertainment

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Madrid, Spain

Founded: 2011

Website LinkedIn

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Fever Up

2 months ago

Lead AI Product Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead Fever's AI transformation across multiple business domains, identifying where AI can unlock the largest impact and shaping the roadmap to get there.
•Build and lead small, high‑performance specialist teams — embedding with business stakeholders to ship AI products end‑to‑end, from problem framing to production.
•Design and ship advanced AI systems combining LLMs, agents, retrieval, and orchestration layers, optimized for real business outcomes with high‑volume, low‑latency production workflows.
•Define best practices for AI engineering at Fever: evaluation, observability, cost control, prompt and model governance, safety, and long‑term maintainability.
•Hire, mentor, and grow AI engineers, fostering a culture of ownership, craftsmanship, and high velocity.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceEquityHybrid Work

Key Requirements

•Strong software engineering foundations with hands‑on experience in Python, building scalable production systems (event‑driven architectures, microservices, APIs, databases).
•Deep, hands‑on experience designing and shipping AI systems in production — LLM applications, agentic workflows, RAG, fine‑tuning, or orchestration frameworks (LangGraph, LlamaIndex, DSPy, or similar).
•Solid grasp of the modern AI stack: foundation model APIs (OpenAI, Anthropic, Google), vector databases, evaluation frameworks, prompt engineering, and inference optimization. Comfortable with AWS, Docker, Kubernetes, CI/CD, and observability tooling for AI workloads.
•Strong product sense and stakeholder management skills — ability to navigate ambiguity, prioritize ruthlessly for impact, and align engineering work with business goals.
•Track record of leading projects across multiple teams and of hiring, mentoring, and growing engineers.

Experience:AiSoftwareEnterprise

Skills:PythonAILLMsAPIsMicroservicesCloud

Languages:English

Tech Stack:PythonAWSDockerKubernetesCI/CDLangGraphLlamaIndexDSPyOpenAIAnthropicGoogleVector databasesLLMAgentRetrievalOrchestration

Company Brief

Fever Up

Industry: Events & Live Entertainment

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Madrid, Spain

Founded: 2011

Website LinkedIn