About Klar
We're turning one of the world's largest underbanked markets into something fairer, simpler, and more transparent.
7 million users served since 2019. Uber's first global credit card, built right here in Mexico. Klar Empresarial, a brand-new B2B solution — Klar Empresarial — bringing agile credit and smart accounts to SMEs who've been ignored by traditional banks for too long.
And a full banking license on the horizon, because our customers asked for it and we listened.
We move fast, we think big, and we go all in, because as our CEO puts it: "Growing doesn't always mean going further. Sometimes it means going deeper."
Behind all of it is a team of 30+ nationalities, working across Mexico City, Berlin, and Argentina, obsessed with building financial products that are simpler, faster, and fairer than anything that came before.
This is Klar, and we're seeking the people who'll write the next chapter.
Our people
If you join us at Klar, you’ll be welcomed to a team that 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 (young professionals, 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:
- RisingWave 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
- PostgreSQL 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 device
- International work environment with amazing and highly skilled people
- A world class team that helps you evolve your skills in areas you're interested in
- Wellhub subscription to offer mental and physical health
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!
