Senior GEN-AI Engineer (Data & Platform) - Germany

About KLAR

Let’s start with the basics!

Klar is a Mexican fintech startup whose mission is to democratize and revolutionize the way in which financial services have been delivered so far in Mexico, especially since half of the population doesn’t have a bank account.

We offer a rich set of products across our debit and credit offers and the future is bright for Klar!

We have an exciting and ambitious roadmap to bring more features to our products so that we can better serve our users.

We have served more than 2 million users since our launch in 2019!

We are also proud to have been certified as a “Great Place to Work” in Mexico - we’ve worked hard to make that happen and will continue to make bigger strides in the future!

Sound like a place you’d like to be?

Our people

If you join us at Klar, you’ll be welcomed into a team which is rich in many talents and we are very proud!

With our head office in Mexico City, and remote tech hubs in Berlin and Argentina, we are always learning something new about another culture or language.

With so many people from different backgrounds and walks of life (parents, LGBTQ+, neurodivergence), you’ll definitely find your people here!

Our values

• Ownership - We own our successes & our failures as a team.
• Excellence - We do everything to the best of our ability & always seek to achieve a new level of excellence in our work.
• Inclusion - We believe we are stronger together and actively work to promote a safe, diverse, inclusive, and respectful culture.
• Customer Obsession - We understand the value Klar can bring to its customers & it’s always at the forefront of our decisions.
• Klarity - We communicate clearly & with authenticity. It’s in our name & it’s what we do.

About the Role

We are seeking a Senior GEN-AI Engineer with a Data & Platform focus.

You will design, build, and operate GEN-AI powered, data-intensive systems that process and learn from large-scale event streams.

This role is production-oriented: you’ll ship reliable LLM features, prove they work via rigorous evaluation, and continuously improve quality through context engineering.

This is not a research-only role.

You will work on systems where LLMs interact with business-critical workflows, and where quality, latency, observability, and operational reliability matter.

What you can expect

• Build and maintain production-grade GEN-AI services in Python.
• Write clean, maintainable, and efficient code.
• Optimize applications for performance, reliability, and scalability.
• Design systems that process, enrich, and learn from real-time event streams.
• Work with data pipelines, message queues, retrieval systems, and streaming architectures.
• Build reliable context and retrieval layers for LLM-powered products.
• Improve LLM quality through context engineering, evaluation, observability, and feedback loops.
• Design systems with idempotency, retries, deduplication, backpressure, and failure recovery in mind.
• Collaborate closely with backend, data, product, and infrastructure teams

What we are looking for

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 1+ years of experience with GEN-AI projects.
• 5+ years of experience with the Python programming language.
• Proven experience building data-intensive applications.
• Hands‑on experience shipping production systems, not only prototypes or notebooks.
• Experience with event-driven systems, message queues, or streaming architectures.
• Experience with Kubernetes or cloud‑native infrastructure.
• Strong understanding of observability, metrics, logging, alerts, and production debugging.
• Ability to reason about reliability topics such as idempotency, retries, duplicate events, backpressure, latency, and failure modes.
• Experience with distributed systems, including design patterns for scalability, fault tolerance, data consistency, and partitioning in large‑scale production environments.
• Experience with data retrieval techniques.
• Experience with DSPy, GEPA, or other LLM optimization/evaluation techniques is a plus

Experience with some of the following is a strong plus

• Rising Wave or other streaming databases
• Apache Kafka or similar event‑streaming systems
• Apache Iceberg, data lakes, lakehouse architectures, or Ice Lake‑style platforms
• Airflow or similar workflow orchestration tools
• Postgre SQL or other relational databases at scale
• Vector databases or hybrid search
• Real‑time data processing
• Data retrieval systems
• Our offer to you
• Competitive salary based on performance and experience
• Chance of earning Klar stock options
• 26 days of paid vacation per year
• Computer devices
• Wellhub subscription to offer mental and physical health
• Sponsored coaching and therapy sessions via Modern Health
• Training budget to upskill your learning
• Health insurance & Pension scheme
• BVG Corporate ticket
• Berlin office if you prefer to work onsite
• International work environment with amazing and highly skilled people
• A world class team that helps you evolve your skills in areas you are interested in

Klar is a safe place for everyone!

We trust our highly skilled and diverse team and we’re committed to creating a welcoming and inclusive environment for new talents to flourish.

We value diversity and welcome all applications regardless of gender, nationality, ethnic and social origin, religion/belief, physical abilities, age, sexual orientation and identity.

Should you require any accommodations through the recruitment process, please don’t hesitate to let us know how we can help!

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