Senior GEN-AI Engineer, Data & Platform

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Klar

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛒 Retail

Retail

Klar is a company based in Denmark that specializes in the design and sale of high-quality windows and doors. They offer a wide range of customizable products, including Dannebrog windows, Bondehus windows, and various types of doors such as terraced and facade doors. Klar provides options for both outward and inward opening windows, and they emphasize affordability by bypassing costly intermediaries. They boast up to a 12-year warranty on their products and use FSC-certified wood produced in the EU. Klar operates through a digital showroom and provides comprehensive customer service. Products are available in Denmark and neighboring countries like Norway and Sweden. Their focus on excellent service and competitive pricing is reflected in their high Trustpilot ratings from satisfied customers.

📋 Description

• 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

🎯 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 • 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

🏖️ Benefits

• 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