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

Senior GEN-AI Engineer With A Data & Platform Focus

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. 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 believe we are stronger together and actively work to promote a safe, diverse, inclusive, and respectful culture.

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 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're 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!