About the role
structured by ORIAbout Clarity AI 🪴 Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets. We leverage AI and machine learning technologies to provide top international investors, governments, companies, and consumers with the right data, methodologies, and tools to make more…
What you will do
- Product-Centric Development: Designing and executing experiments to improve GenAI capabilities.
- Evaluation Systems: Building the "Golden Path" for quality, designing and implementing robust, multi-dimensional evaluation suites.
- Advanced RAG & Reasoning Optimization: Implementing and tuning advanced retrieval strategies and optimizing complex reasoning loops.
- Production-Grade Model Tuning: Leading the strategy for moving beyond simple prompting, overseeing supervised fine-tuning (SFT) and Parameter-Efficient Fine-Tuning (LoRA) workflows.
- Performance & Cost Engineering: Balancing the "Quality-Cost-Latency" triangle by optimizing token usage and reducing inference latency.
What they are looking for
- Applied MLE Background: You have a proven track record of shipping Machine Learning functionality in a product-focused environment.
- Bleeding-Edge Awareness: You are a "first adopter" of new AI technologies.
- Experimental & Analytical Mindset: You understand the importance of controlled experiments.
- Practical LLM Expertise: Deep, hands-on experience with LLM orchestration, vector databases, and evaluation frameworks.
- Technical Stack Mastery: Expert-level Python and experience writing production-grade code.
- Product Mindset: You think about the user.
- Experience: 3+ years of experience in ML or Software Engineering roles, with at least 2+ years of hands-on experience building and scaling GenAI/LLM-powered features.
- Self-starter, able to take ownership and initiative, with high energy and stamina
- Decisive and action-oriented, able to make rapid decisions even when they are short of information
- Highly motivated, independent and deeply passionate about sustainability and impact
- Excellent oral and written English communication skills (minimum C1 level-proficient user)
Nice to have
- Experience in a start-up
- Cloud AI Ecosystem: Familiarity with managed GenAI platforms and services such as OpenAI, Anthropic, AWS Bedrock, or GCP Vertex AI.
- Active Builder Credentials: A portfolio or GitHub showcasing side projects that experiment with the latest AI paradigms (e.g., multi-agent systems, local LLM execution, etc.).
Before you apply
- Location constraint: The role is based in Spain
Benefits
- Competitive base salary and equity plans
- Flexibility in working schedule and location (office, home, or abroad with co-working access)
- Generous paid time off schemes (vacation, sabbatical, religious observance, compensation days)
- Private healthcare coverage, Wellhub fitness/wellness, home office allowance
- Annual training budget for conferences, courses, certifications, and e-learning platforms
Full posting text
About Clarity AI 🪴
Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets.
We leverage AI and machine learning technologies to provide top international investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions.
We are now a team of more than 300 highly passionate and curious individuals from all over the world, with offices in New York, Madrid, London, Paris, and Abu Dhabi. Together, we have established Clarity AI as a leading sustainability tech AI company backed by investors and strategic partners such as BlackRock, SoftBank, and Deutsche Börse , who believe in us and share our goals.
We are dedicated to cultivating an exceptional workplace environment, and we take pride in our culture, defined by our commitment to being fact-based, diverse, transparent, meritocratic, and flexible.
We have plans to continue growing our teams globally, so if you would like to join us on this rocket ship, keep reading! Your work will shape and guide the sustainable decisions of investors, companies and consumers worldwide.
About The Role 💻
We are looking for an AI Engineer who thrives at the intersection of rapid experimentation and agile product development . In this role, you will be the bridge between the latest AI developments and tangible product impact. You aren't just following a roadmap; you are helping define it by proving what is possible with the latest frontier models and architectures. You will be responsible for the "quality loop": moving from a promising proof-of-concept to a highly reliable, optimized, and validated product.
What You’ll Be Doing 🚀
As an AI engineer, you will be responsible for:
Product-Centric Development: Designing and executing experiments to improve GenAI capabilities. This isn't just about "accuracy" in a vacuum—it's about optimizing for user value, reliability, and cost-effectiveness.
Evaluation Systems: Building the "Golden Path" for quality. You will design and implement robust, multi-dimensional evaluation suites (e.g., using "LLM-as-a-judge," semantic checks, and unit tests) to ensure our features are production-ready and hallucination-resistant.
Advanced RAG & Reasoning Optimization: Moving beyond "naive RAG." You will implement and tune advanced retrieval strategies (e.g., hybrid search, reranking, agentic retrieval) and optimize complex reasoning loops (e.g., CoT, ReAct) to make our current and future agents smarter and more reliable.
Production-Grade Model Tuning: Leading the strategy for when, and if, to move beyond simple prompting. You will oversee supervised fine-tuning (SFT) and Parameter-Efficient Fine-Tuning (LoRA) workflows to adapt models to our specific product domains.
Performance & Cost Engineering: Balancing the "Quality-Cost-Latency" triangle. You will find ways to maintain high-quality outputs while optimizing token usage and reducing inference latency.
Location 🌍
The role is based in Spain
Way of Working: Remote / Hybrid
What You’ll Need 👀
Applied MLE Background: You have a proven track record of shipping Machine Learning functionality in a product-focused environment. You prefer "what works in practice" over "what works in theory."
Bleeding-Edge Awareness: You are a "first adopter" of new AI technologies. You are intimately familiar with the trade-offs between frontier models and know how to swap or hybridize them for maximum impact.
Experimental & Analytical Mindset: You understand the importance of controlled experiments. You know how to design a benchmark, create a "Gold Dataset," and use data to prove that a new prompt or model is an actual improvement.
Practical LLM Expertise: Deep, hands-on experience with LLM orchestration, vector databases, and evaluation frameworks.
Technical Stack Mastery: Expert-level Python and experience writing production-grade code.
Product Mindset: You think about the user. You can identify when a model’s behavior might be technically correct but results in a poor user experience, and you know how to iterate to improve it.
Experience: 3+ years of experience in ML or Software Engineering roles, with at least 2+ years of hands-on experience building and scaling GenAI/LLM-powered features.
Self-starter, able to take ownership and initiative, with high energy and stamina
Decisive and action-oriented, able to make rapid decisions even when they are short of information
Highly motivated, independent and deeply passionate about sustainability and impact
Excellent oral and written English communication skills (minimum C1 level-proficient user)
Nice To Have ✨
Experience in a start-up
Cloud AI Ecosystem: Familiarity with managed GenAI platforms and services such as OpenAI, Anthropic, AWS Bedrock, or GCP Vertex AI.
Active Builder Credentials: A portfolio or GitHub showcasing side projects that experiment with the latest AI paradigms (e.g., multi-agent systems, local LLM execution, etc.).
What We Offer 🥁
Competitive compensation, both in terms of base salary as well as equity plans that enable to you to share in our success
Flexibility in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces
Generous paid time off schemes , including vacation, sabbatical, religious observance and compensation days
Meaningful benefits including private healthcare coverage, fitness and wellness programs covered through Wellhub, working-from-home allowances to help you set up your home office and cover monthly expenses
Professional development with annual training budget for conferences, courses, certifications and access to top market e-learning platforms
Collaborative environment with multiple offices around the globe, regular team activities and events as well as employee-led resource groups
More About Clarity AI ⭐
Clarity AI’s Founder and CEO, Rebeca Minguela , is a successful entrepreneur who has been recognised by prestigious institutions like the World Economic Forum as one of the most distinguished leaders under 40.
The leadership team has an international presence and is composed of professionals from leading tech, consulting, and banking firms, entrepreneurs, PhDs from top research institutions, and MBA graduates from top business schools.
Clarity AI has received several awards:
The Forrester New Wave - ESG Ratings, Data, and Analytics - Leaders for 2022-2024
Investment Week - Best Sustainable Investment Research & Ratings Provider 2023
Fast Company - Most Innovative Companies 2023
European Commission | EU Seal of Excellence 2020
World Economic Forum - Technology Pioneer 2020
World Economic Forum, Young Global Leader - Rebeca Minguela
Clarity AI believes diversity, inclusion, and belonging are essential for creating an innovative and successful workplace. By actively promoting and engaging in sustainability efforts, we can help create a more equitable and resilient future for our planet and all its inhabitants.