About The Role 💻 

We are looking for a motivated and driven Junior Software Engineer to join our Consumer Team, working at the intersection of banking and sustainability. In this role, you will have the opportunity to develop scalable software that helps customers worldwide realize the power of their spending habits to change the world.

You will join a high-performing team with a solid technical foundation, focusing on delivering high-quality features while continuously growing your development skills. You will work across a modern architecture composed of both microservices and a modulith, contributing to the entire software development lifecycle.

If you enjoy solving complex problems with code and have a growth mindset, we encourage you to apply!

For more insight into the technologies used by the consumer team at Clarity AI, please explore our Tech Stack

What You’ll Be Doing 🚀

• End-to-End Development: Take responsibility for the full software development lifecycle, from refining requirements and creating concepts to implementing, testing, and maintaining software in the long term.
• Backend Excellence: Develop and ship well-defined features and API endpoints using Kotlin and Spring Boot.
• Frontend Maintenance: Handle smaller maintenance tasks and develop new frontend features using TypeScript and React to support our web applications.
• AI-Powered Workflow: Deeply integrate AI coding agents into your daily workflow to accelerate development, improve code quality, and solve complex logic tasks.
• Quality & Testing: Implement clear, concise, and well-tested code, ensuring high test coverage and adhering to clean code principles.
• Collaboration: Pair effectively with other engineers on features, infrastructure code, and production incidents, while participating in design discussions for features and bug fixes.
• Agile Participation: Identify and communicate problems with product teams and processes, and actively participate in team meetings and retrospectives.

Location 🌍 

The role is based in a GMT+2 compatible timezone. We have offices in Berlin, Madrid, London, and Paris.

This position can be set up as either a Remote or Hybrid role. If you choose the remote option, you will work 100% from home within our supported regions.

What You’ll Need 👀

• Education: A degree in Computer Science (or a related field) or equivalent professional work experience.
• Backend Skills: At least a solid foundation in developing Java or Kotlin microservices with Spring Boot.
• Data & APIs: Hands-on experience with RESTful APIs and working with databases like PostgreSQL.
• AI Fluency: Experience using AI tools (such as coding agents) to assist in development, with the ability to explain how you prompt, review, and validate AI-generated output.
• Software Craftsmanship: A strong commitment to creating high-quality, well-tested code and an understanding of the challenges of running software in production (reliability, scalability, and performance).
• Communication: Strong communication skills in English, with the ability to collaborate effectively with peers and seek support when needed.
• Soft Skills: High empathy towards colleagues and an eagerness to receive and provide constructive feedback.

Nice To Have ✨

• Experience working in a product-based company.
• Frontend experience with TypeScript and React.
• Familiarity with gRPC, OAuth 2.0, or Gradle.
• Experience with GitLab CI or GitHub Actions.
• Understanding of cloud infrastructure and containerization tools like Kubernetes or Docker.

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

About The Role 💻

We are looking for a senior, hands-on AI & Data Science Director to lead the next phase of Clarity AI’s applied AI evolution. This role sits at the intersection of data science, generative AI, platform thinking, and organizational leadership.

You will provide senior technical and people leadership to a team that must continue delivering on classical data science priorities while increasingly incorporating LLM-based and generative AI capabilities into products and internal workflows.

This is a high-impact role for someone who combines strong machine learning fundamentals with current, practical experience in GenAI, and who can translate that expertise into team structure, execution discipline, and business outcomes.

What You’ll Be Doing 🚀

As AI & Data Science Director, you will be responsible for:

• AI & Data Science Strategy: Defining and evolving the company’s AI strategy across traditional machine learning, experimentation, evaluation, and generative AI applications.
• Technical Leadership: Acting as the senior technical anchor for the function, ensuring the team applies strong scientific thinking, robust experimentation practices, and sound engineering judgment.
• GenAI Adoption: Identifying where LLMs, agents, and related tooling can materially improve products, workflows, and team leverage, while avoiding hype-driven decisions.
• Ecosystem Building: Creating the environment, tooling patterns, and ways of working that allow teams with mixed seniority to build and operate AI solutions effectively.
• Team Leadership & Development: Coaching and developing emerging leaders and strong individual contributors, while helping define the right long-term organizational structure.
• Cross-functional Translation: Bridging product, engineering, platform, and executive stakeholders to ensure AI initiatives are actionable, aligned, and well-prioritized.
• Organizational Stabilization: Providing the seniority and leadership depth needed during a period of team transition and leadership change.
• Selective Hiring: Helping calibrate and attract senior profiles who combine machine learning depth, strong judgment, and practical exposure to modern GenAI systems.

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 👀

• Strong ML Foundation: Deep grounding in classical machine learning, experimentation, modeling, and scientific reasoning. This is not a GenAI-only profile.
• Practical GenAI Experience: Hands-on familiarity with LLMs, agentic patterns, evaluation approaches, and the rapidly evolving GenAI tooling ecosystem.
• Senior Leadership Experience: Proven experience leading senior technical teams, shaping organizations, and operating as a trusted partner to executive leadership.
• System-Building Mindset: Ability to create the ecosystem, processes, and technical direction that enable more junior team members to execute effectively.
• Product & Business Judgment: Strong ability to connect technical decisions with business priorities, product constraints, and execution realities.
• People Skills: Ability to build trust, challenge constructively, and lead both upwards and downwards in a demanding environment.
• High Adaptability: Comfort operating in fast-changing, ambiguous environments with high expectations and evolving priorities.
• Excellent Communication: Strong written and verbal English, with the ability to communicate clearly with technical and non-technical stakeholders.

What We Offer 🥁

• Competitive compensation, including base salary and equity.
• Flexibility in ways of working, including remote and hybrid options.
• The opportunity to shape a strategically critical AI function at a pivotal moment for the company.
• High ownership, high impact, and close collaboration with senior leadership.
• A mission-driven environment where your work will influence how sustainability intelligence is delivered at scale.

About The Role 💻

We are looking for a Senior MLE Staff Engineer who is an expert in the deployment and scaling of LLMs and Agentic systems. In this role, you will bridge the gap between machine learning experimentation and production at scale by building the robust, highly efficient platform that powers our AI initiatives.

While our Data Science teams focus on developing and tuning state-of-the-art models, you will be the owner of the platform that enables them. You will define best practices, build automated pipelines, and ensure that our infrastructure can handle complex agentic workflows with high reliability and performance. This is a role for a visionary who stays ahead of the daily shifts in the AI landscape and can rapidly adapt our stack to leverage emerging trends.

For more insight into the technologies used by the engineering team at Clarity AI, please explore our Tech Stack

What You’ll Be Doing 🚀

As a Senior MLE Staff Engineer, you will be responsible for:

• GenAI Platform Engineering: Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems.
• Infrastructure for Agents: Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops.
• High-Scale Productionization & Model Serving: Scaling inference for LLMs to handle global demand while optimizing for latency, throughput, and cost. Implement standard batch and online serving with controlled rollback.
• Build & Delivery: Establishing the "Golden Path" for model deployment through a self-service path to move code, data, and models to production safely and reproducibly, including automated evaluation frameworks, safety guardrails, and CI/CD/CT pipelines.
• Strategic Vision & Product Management: Continuously monitoring the AI ecosystem and proactively evolving our platform to maintain a competitive edge. This includes adopting best practices in Platform Product Management and driving the adoption of golden-path solutions.
• End-to-End Observability: Implementing deep observability for LLMs, tracking not just system health but providing unified visibility into health, impact, and root cause across data, ML, and GenAI (including model hallucinations, token usage, and RAG performance).
• Collaborative Foundation: Providing the tools and abstractions that allow Data Scientists and stakeholders to move from a "tuned model" to a "production service" with zero friction.

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 👀

• LLM & Agent Expertise: Deep, hands-on experience deploying Large Language Models and complex agentic architectures at scale.
• GenAI Platform Specifics: Proven experience in implementing Prompt Lifecycle Management (versioning, testing, and deploying prompts as code), an LLM Abstraction Layer (provider-agnostic access), and systems for Cost & Usage Control (visibility and limits on GenAI spend per use case).
• Evaluation & Benchmarking Mastery: Expert-level experience building automated evaluation pipelines and frameworks (e.g., Ragas, DeepEval, G-Eval) and implementing LLM-as-a-judge patterns to validate model quality, grounding, and safety in CI/CD.
• Platform & MLOps Mindset: A proven track record of building platforms or shared infrastructure. Deep understanding of MLOps concepts like Model Registry (versioning, state management, and lineage) and Model Monitoring & Drift Detection.
• 3+ years of experience in MLOps or high-scale Software Engineering with a focus on AI production environments.
• Technical Stack Mastery: Expert-level Python and deep experience with container orchestration (Kubernetes, Docker) and cloud infrastructure (AWS/GCP).
• AI Tooling & Frameworks: Proficiency with orchestration libraries (e.g., LangChain, LlamaIndex, CrewAI), vector databases (e.g., Pinecone, Weaviate), and inference engines (e.g., vLLM, TGI).
• Agility & Adaptability: The ability to learn and implement new technologies in a field that changes weekly. You should be a "fast mover" who enjoys constant evolution.
• Software Excellence & Governance: Strong fundamentals in API design, microservices, and "GitOps" methodologies, including the implementation of automated security and compliance by default.
• English Proficiency: Excellent communication skills (minimum C1 level), with the ability to articulate technical vision to both engineers and leadership.

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

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 🚀

As a Staff 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 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: 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: 5+ 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

About The Role 💻

We are looking for a Senior Software Engineer with a certain background in Data who will help us deliver the different parts of our production-ready product while co-designing and implementing an architecture that can scale up with the product and the company. 

This role will primarily focus on software engineering tasks, ensuring the scalability, reliability, and performance of some of the processes that generate part of the core-data of Clarity AI inside our Data Platform. This Software Engineer will work closely alongside a stable team of other Software Engineers with varying levels of experience, a Tech Lead, and a Product Manager. As a member of this team and the Data Platform, you will be involved in conversations with stakeholders.

As part of the Data Platform, we build data products and capabilities that power Clarity AI’s mission to bring clarity to sustainability. Our team manages the entire ingestion flow of data: From gathering information from tens of public sources and vendors to making it accessible to clients and internal teams. We harmonize data that tracks the sustainability performance of companies and governments worldwide, while managing the cross-references and fundamental datasets that make this information interoperable and impactful for financial clients. Beyond this, we provide core data services and infrastructure that empower other Clarity AI teams to innovate, experiment, and deliver value faster. 

In our team we work in a collaborative environment (the team always comes before individuals, and we don't like heroes), with a Lean/Agile mindset, where quality is non-negotiable. We value flexibility, remote work, and autonomy in how we work. We place a great deal of importance on working in a trustful environment where everyone can find a good work-life balance.

For more insight into the technologies used by the engineering team at Clarity AI, please explore our Tech Stack

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 Be Doing 🚀

As a Senior Engineer, this is what we expect from you:

• About your coding skills: 
• You are able to design, develop, and maintain processes, data pipelines and services with a focus on simplicity, scalability, reliability, and performance.
• You write high-quality, clean, well-tested code. Software Quality is non-negotiable for us. Writing automated tests (unit, integration, etc.) continuously must be part of your coding practice. You are used to programming in continuous cycles of coding-testing-refactoring or testing-coding-refactoring.
• In terms of language, this is a no-stack position. We are currently using Python, DBT, and SQL but previous experience in Python or DBT is not a requirement, but you should have mastery of SQL.
• You are familiar with the main design patterns and know how to approach your work to create decoupled artifacts. You have experience with APIs, both in using them and in creating them.
• About your data skills: 
• You are able to design and understand complex Data Models. 
• You understand data storage and can make informed decisions about it. You are familiar with working with relational databases, data warehousing, columnar storage, and in-memory databases.
• You will implement automated Data Quality actions to ensure the integrity of all the datasets we produce.
• You will build and maintain fully automated and orchestrated data pipelines (ETL/ELT). Currently, we use Airflow as the main tool for this, but you don't need to be an expert in Airflow. 
• About your mindset: 
• You have a Product Engineer mindset, being involved in all aspects of the life cycle of a Product: from understanding the problems and needs, interacting with our stakeholders, designing, coding, delivering, measuring the impact… We want you to take full ownership of what we build. 
• You are someone with a strong team mindset who values teamwork and prioritizes collective success over individual performance. You enjoy solving problems collectively. We do great things together, we fail together. You care about your teammates and create an inclusive and supportive environment, where collaboration, open communication, and commitment to the team's goals are essential.
• You are used to working in Lean/Agile environments. Concepts like focusing on impact, working in small iterations, measuring and gathering feedback, and adapting the roadmap are familiar to you.
• About your soft skills: 
• You have excellent communication skills, both written and spoken, knowing what to communicate and when, and adapting the message to the audience. Our official language is English, so we need you to understand and communicate effectively in English. 
• You demonstrate a high degree of autonomy and require minimal supervision.
• You will thrive in an environment that offers flexible hours, understanding the rights and responsibilities this entails. You also excel at balancing synchronous and asynchronous communication effectively within your team.
• You are proactive and have critical thinking skills. We are open to change and improvement, so we would like you to be someone capable of proposing new ways of working.
• Empathy and active listening: Ability to listen to colleagues' opinions, regardless of their seniority, and use this information to strengthen working relationships and improve projects. You know how to give feedback in an honest and respectful manner.

Nice To Have ✨

• Experience in a start-up
• Bachelor's or Master’s degree, or higher, in a financial discipline such as Banking, Finance, Investment Management, or Sustainable Finance.

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