Staff AI Engineer

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. Clarity AI is a leading sustainability tech AI company backed by investors and strategic partners such as BlackRock, SoftBank, and Deutsche Boerse.

About The Role:

We are looking for a Staff 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:

• Product-Centric Development: Designing and executing experiments to improve GenAI capabilities. Optimizing for user value, reliability, and cost-effectiveness.
• Evaluation Systems: Building the 'Golden Path' for quality. Designing and implementing robust, multi-dimensional evaluation suites (e.g., 'LLM-as-a-judge,' semantic checks, unit tests).
• Advanced RAG & Reasoning Optimization: Implementing and tuning advanced retrieval strategies (hybrid search, reranking, agentic retrieval) and optimizing complex reasoning loops (CoT, ReAct).
• Production-Grade Model Tuning: Leading the strategy for SFT and Parameter-Efficient Fine-Tuning (LoRA) workflows.
• Performance & Cost Engineering: Balancing the 'Quality-Cost-Latency' triangle.

Location: The role is based in our tech hub in Madrid, Spain, but we are remote-friendly and open to the CET timezone +/- 2 hours. Way of Working: Remote/Hybrid.

What You'll Need:

• Applied MLE Background: Proven track record of shipping ML in product environments
• Bleeding-Edge Awareness: First adopter of new AI technologies
• Experimental & Analytical Mindset: Designing controlled experiments, Gold Datasets
• Practical LLM Expertise: Deep, hands-on experience with LLM orchestration, vector databases, evaluation frameworks
• Technical Stack Mastery: Expert-level Python
• Product Mindset
• Experience: 5+ years in ML or Software Engineering, with at least 2+ years building and scaling GenAI/LLM-powered features
• Excellent oral and written English (minimum C1 level)

Nice To Have:

• Experience in a start-up
• Cloud AI Ecosystem: Familiarity with managed GenAI platforms - OpenAI, Anthropic, AWS Bedrock, GCP Vertex AI
• Active Builder Credentials: portfolio or GitHub showcasing side projects with multi-agent systems, local LLM execution, etc.

What We Offer: Competitive compensation including base salary plus equity. Flexibility in ways of working. Generous PTO. Private healthcare coverage, fitness/wellness programs through Wellhub. Working-from-home allowances. Annual training budget for conferences, courses, certifications and access to top market e-learning platforms.