CrawlJobs Logo

Lead AI Product Engineer

Spain, Madrid · Job Posted May 27, 2026
Apply Position
Job Link Share

Job Description

We're looking for a Lead AI Product Engineer to drive Fever's company-wide operational transformation. This is a powerful 50% leadership, 50% hands-on building role designed for someone who sits right at the intersection of human operations and advanced AI engineering.

Job Responsibility

  • Stakeholder Management & Discovery (50%): Partner with internal business leaders to audit their current manual processes
  • Hands-on Engineering & Architecture (50%): Design, code, and deploy advanced AI systems (LLM applications, agentic workflows, RAG, and custom chatbots) that solve those operational pain points and scale seamlessly
  • Lead & Mentor: Build and lead a small, agile team of AI engineers
  • Own the Product Lifecycle: Take internal tools from early discovery and rapid prototyping to production-grade deployment

Requirements

  • Proven AI Product Delivery: Deep, hands-on experience shipping AI systems in production (LLM frameworks like LangGraph, LlamaIndex, or agentic automation)
  • Strong Operational Sense: You can naturally look at a messy, manual process and instantly visualize how an AI product could streamline it to save hours of manual labor
  • Solid Engineering Foundations: Strong software engineering background (APIs, microservices, databases, AWS ecosystem)
  • Empathy & Communication: Exceptional ability to build relationships with non-technical stakeholders, navigate ambiguity, and align engineering efforts with operational needs
  • The 50/50 Split: You love writing clean, scalable Python code and building AI systems, but you are equally energized by talking to people, understanding their daily operational frustrations, and solving their problems

What we offer

  • Responsibility from day one and professional and personal growth in one of the most exciting AI roles in the company
  • Opportunity to have a real impact in a high-growth global category leader
  • A compensation package consisting of base salary and the potential to earn a significant bonus for top performance
  • Stock options plan
  • 40% discount on all Fever events and experiences
  • Based in Madrid, with a home office friendly setup
  • Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
  • English / Spanish lessons
  • Wellhub membership
  • Possibility to receive in advance part of your salary by Payflow

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Lead AI Product Engineer

8 matching positions

Senior Lead Ai Engineer (Mlx, Agentic Ai, Gen Ai Platform Services)

Location
Location
United States , San Francisco; New York; San Jose; Cambridge; McLean
Salary
Salary:
229900.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)
Location
Location
United States , New York; San Francisco; San Jose; Cambridge; McLean
Salary
Salary:
197300.00 - 245600.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
  • At least 4 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits
  • Fulltime
Read More
Arrow Right

Product Lead, Ai Product Engineering - Capital Markets

We are seeking a visionary and hands-on Product Lead, AI Product Engineering to ...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Significant Proven experience in technology, with a proven track record of shipping products from concept to launch in a product-centric or entrepreneurial role
  • Demonstrated experience in a role that blends product management (defining the "what" and "why") with software engineering (defining the "how")
  • Deep subject matter expertise in applying modern AI/ML techniques to solve real-world business problems
  • Experience with NLP, predictive modeling, or generative AI is highly desirable, especially in the context of Capital Markets
  • A strong understanding of core banking, financial technology, and critically, a deep understanding of Capital Markets processes, including ECM deal execution, financing workflows, and the application of AI agents to drive business growth, opportunity identification, and client servicing within this sector
  • Proven ability to lead, mentor, and inspire cross-functional teams in a fast-paced, agile environment
  • Experience with project management and influencing without direct authority
  • Exceptional communication and relationship-building skills, with the ability to build consensus and drive decisions among senior leaders and diverse stakeholders, including Capital Markets professionals and their leadership
  • While this is a product-heavy role, you should have a strong foundation in software engineering principles and be comfortable discussing architecture and code with your team
Job Responsibility
Job Responsibility
  • Define the Vision: Own the product strategy for AI initiatives within Capital Markets tooling
  • Drive the Roadmap: Translate the product vision into a clear, actionable roadmap for Capital Markets AI tooling
  • Lead from the Front: Act as the key technical and product leader for a dedicated team of engineers focused on Capital Markets solutions
  • Bridge Business and Tech: Serve as the primary liaison between Capital Markets business stakeholders, end-users, and the development team
  • Hands-On Prototyping and Architecture: Be prepared to get hands-on with building proofs-of-concept and initial prototypes to validate ideas quickly, particularly for novel AI applications in Capital Markets tooling
  • Champion and Influence: Influence and negotiate with senior leadership within Banking Technology and Capital Markets to secure buy-in and resources for your product vision
  • Manage Risk and Compliance: Uphold the firm's commitment to risk management and compliance
What we offer
What we offer
  • Generous holiday allowance starting at 27 days plus bank holidays
  • increasing with tenure
  • A discretionary annual performance related bonus
  • Private medical insurance packages to suit your personal circumstances
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources
  • Fulltime
Read More
Arrow Right

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , Cambridge; McLean; New York; San Jose
Salary
Salary:
197300.00 - 245600.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
  • At least 4 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Read More
Arrow Right

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , Cambridge; McLean; New York; San Jose
Salary
Salary:
197300.00 - 245600.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
  • At least 4 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits
  • Fulltime
Read More
Arrow Right

Lead AI Engineer, AI Foundations

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , New York; McLean; San Jose; Cambridge
Salary
Salary:
197300.00 - 245600.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
  • At least 4 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right

Senior Lead AI Engineer, AI Foundations

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , New York, New York; McLean, Virginia; San Jose, California; Cambridge, Massachusetts
Salary
Salary:
229900.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Health, financial and other benefits
  • Fulltime
Read More
Arrow Right

Lead AI Engineer (Generative AI)

Location
Location
Australia , Melbourne
Salary
Salary:
160000.00 - 170000.00 AUD / Year
welovesalt.com Logo
Salt
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2 – 4 years experience applying modern Generative AI in real delivery environments
  • A strong track record of providing technical leadership
  • A strong background in software engineering before stepping into a more AI-focused role in recent times
  • Deep expertise in Generative AI, large language models, retrieval‑augmented generation (RAG), and modern machine learning techniques
  • Strengths in prompt engineering, offline/online evaluation, safety guardrails, and telemetry‑driven improvement
  • Practical experience with RAG, embeddings/vector search, and tool‑use/function‑calling orchestration
  • The ability to define trustworthy AI metrics
  • A Software engineering background using the likes of React, Typescript, React Native
  • AWS experience / certifications
  • Strong knowledge of CI/CD
Job Responsibility
Job Responsibility
  • Accelerating the adoption of Generative AI for this company, leading the adoption of AI‑first engineering practices and an 'AI-first' mindset
  • Providing technical leadership and shaping AI-enabled solutions
  • Reporting into the Head of Technology and working closely with the Head of Enterprise AI
  • Collaborating with a variety of cross-functional teams including
  • Engineering, QA, BA, Product Management, Senior Business Stakeholders, Data Science, Cyber Security, Enterprise Architecture
  • Coaching and training engineers and leaders in the organisation in safe, effective AI‑assisted development
  • Encouraging teams to embed AI‑driven thinking in solution design and delivery
  • Defining and helping to operationalise trustworthy metrics to measure the impact of AI features, and developer productivity uplifts
  • Producing AI-augmented solution designs when required
  • Driving engineering excellence by uplifting standards, modernising technical practices, and championing AI‑aligned SDLC patterns
What we offer
What we offer
  • Super
  • Bonus
  • Fulltime
Read More
Arrow Right