Senior GEN-AI Engineer, Data & Platform

This is a fully remote position, open to applicants in Germany.

📋 Description

• Develop and sustain production-quality GEN-AI services using Python.

• Produce clean, maintainable, and efficient code.

• Enhance applications for performance, reliability, and scalability.

• Create systems that process, enrich, and learn from real-time event streams.

• Collaborate with data pipelines, message queues, retrieval systems, and streaming architectures.

• Establish dependable context and retrieval layers for LLM-driven products.

• Elevate LLM quality through context engineering, evaluation, observability, and feedback loops.

• Design systems considering idempotency, retries, deduplication, backpressure, and recovery from failures.

• Work closely with backend, data, product, and infrastructure teams.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.

• Over 1 year of experience with GEN-AI projects.

• More than 5 years of experience with the Python programming language.

• Demonstrated experience in building data-intensive applications.

• Hands-on experience in deploying production systems, not just prototypes or notebooks.

• Familiarity with event-driven systems, message queues, or streaming architectures.

• Experience with Kubernetes or cloud-native infrastructure.

• Strong grasp of observability, metrics, logging, alerts, and production debugging.

• Ability to analyze 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 settings.

• Knowledge of data retrieval techniques.

• Familiarity with DSPy, GEPA, or other LLM optimization/evaluation techniques is a plus.

• Experience with any of the following is a strong advantage: 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.

• Opportunity to earn Klar stock options.

• 26 days of paid vacation annually.

• Provision of computer devices.

• Wellhub subscription for mental and physical health support.

• Sponsored coaching and therapy sessions through Modern Health.

• Training budget to enhance your learning.

• Health insurance and pension scheme.

• BVG Corporate ticket for the Berlin office if you choose to work onsite.

• An international work environment with exceptional and highly skilled individuals.

• A world-class team that assists you in developing your skills in areas of interest.