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!

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Quona Capital