About The Position
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.
Requirements
- 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.
Nice To Haves
- 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
Responsibilities
- 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.
Benefits
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
