Senior GEN-AI Engineer (Data & Platform) - Germany
WFA Digital Insight
As the demand for AI-powered solutions grows, companies like Klar Technologies GmbH are looking for skilled engineers to drive innovation. With a focus on GEN-AI and data-intensive systems, this role stands out in the current remote job market. The fintech industry has seen a significant surge, with over 2 million users served by Klar since its launch in 2019. To succeed in this role, candidates should have a strong background in Python, data-intensive applications, and experience with event-driven systems. Before applying, it's essential to understand the company's values, such as ownership, excellence, and inclusion, and be prepared to collaborate closely with cross-functional teams.
Job Description
About the Role
The Senior GEN-AI Engineer role at Klar Technologies GmbH is a unique opportunity to design, build, and operate GEN-AI powered, data-intensive systems that process and learn from large-scale event streams. As a key member of the team, you will work on production-grade GEN-AI services, writing clean, maintainable, and efficient code in Python. The role is production-oriented, focusing on shipping reliable LLM features and continuously improving quality through context engineering.The team at Klar Technologies GmbH is rich in diverse talents, with a strong focus on ownership, excellence, and inclusion. As a Senior GEN-AI Engineer, you will collaborate closely with backend, data, product, and infrastructure teams to drive innovation and growth. The company's mission to democratize and revolutionize financial services in Mexico has led to significant growth, with over 2 million users served since its launch in 2019.
What You Will Do
- Design and build 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 cross-functional 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
Nice to Have
- 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
Benefits and Perks
- Competitive salary
- Opportunity to work with a talented and diverse team
- Collaborative and dynamic work environment
- Professional development opportunities
- Flexible working hours and remote work options
- Access to cutting-edge technologies and tools
- Comprehensive benefits package, including health insurance and retirement plan
How to Stand Out
- Make sure to highlight your experience with GEN-AI projects and data-intensive applications in your resume and cover letter.
- Be prepared to provide specific examples of your experience with event-driven systems, message queues, or streaming architectures.
- Showcase your understanding of observability, metrics, logging, alerts, and production debugging in your interview.
- Emphasize your ability to reason about reliability topics such as idempotency, retries, duplicate events, backpressure, latency, and failure modes.
- Research the company's values and mission, and be prepared to discuss how you can contribute to the team's success.
- Practice explaining complex technical concepts in simple terms, as this will be an essential skill in this role.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.