Responsibilities
- Participate in the full life-cycle of the product (including ideation, problem discovery, prototyping, design, implementation, and measuring adoption)
- Design and develop services with Python on top of Kubernetes/AWS infrastructure as well as connect to our persistence layer (Kafka, MongoDB, PostgreSQL)
- Build and document developer-friendly RESTful APIs
- Design and build AI agents that can handle high traffic load and concurrency
- bring your own product ideas to life
Requirements
- experienced Python Engineer
- work closely with our team of AI/ML engineers to scale up applications powered by NLP, Machine Learning and AI agents
- responsible for implementing and maintaining AI agentic systems that connect people to jobs at scale
- ensure a seamless integration of new services into the existing infrastructure, at enterprise-level service reliability and security
- design and develop services with Python on top of Kubernetes/AWS infrastructure as well as connect to our persistence layer (Kafka, MongoDB, PostgreSQL)
- build and document developer-friendly RESTful APIs
- design and build AI agents that can handle high traffic load and concurrency
Nice to Have
- bring your own product ideas to life
Work Arrangement
Hybrid
Team
Structure: Engineering teams are located in Berlin and Krakow
Additional Information
- the position is available only under a standard contract of employment with 80% of tax deductible cost.
