Fever Up

3 months ago

AI Engineering Lead

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead Fever's AI transformation across multiple business domains by shaping the AI roadmap, building and guiding small high-performance squads, and delivering production-grade AI products. You will design complex AI systems (LLMs, agents, retrieval, orchestration), set engineering best practices, and partner with senior leadership to turn AI capabilities into strategic, cost-aware initiatives delivered at scale.

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 rather than benchmarks — including 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 InsuranceEquityHome OfficeWellhub MembershipEnglish Lessons

Key Requirements

•Strong software engineering foundations with hands-on experience in Python, building scalable production systems (event-driven architectures, microservices, APIs, databases).
•Hands-on experience designing and shipping AI systems in production — LLM apps, 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:AIEnterprise softwareSaaS

Skills:PythonAILLMsAgentsRetrievalOrchestrationOpenAIAnthropicGoogleLangGraphLlamaIndexDSPyAWSDockerKubernetesCI/CDObservabilityPromptsInference optimization

Languages:English

Tech Stack:PythonAWSDockerKubernetesOpenAIAnthropicGoogleLangGraphLlamaIndexDSPyLLMVector databasesCI/CDObservability

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

3 months ago

AI Engineering Lead

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 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 rather than benchmarks — including 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 InsuranceEquityHome OfficeWellhub MembershipEnglish Lessons

Key Requirements

•Strong software engineering foundations with hands-on experience in Python, building scalable production systems (event-driven architectures, microservices, APIs, databases).
•Hands-on experience designing and shipping AI systems in production — LLM apps, 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:AIEnterprise softwareSaaS

Skills:PythonAILLMsAgentsRetrievalOrchestrationOpenAIAnthropicGoogleLangGraphLlamaIndexDSPyAWSDockerKubernetesCI/CDObservabilityPromptsInference optimization

Languages:English

Tech Stack:PythonAWSDockerKubernetesOpenAIAnthropicGoogleLangGraphLlamaIndexDSPyLLMVector databasesCI/CDObservability

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