- Level: Senior
- Type: B2B
- English Level: Upper-Intermediate
- Location: Poland, Romania, Bulgaria
- Skills: ETL Python
Responsibilities
- Architect and implement scalable APIs, microservices, and event-driven systems to power ML pipelines and agent orchestration
- Design efficient data modeling, ETL, and persistent storage suited for high-volume, real-time agent data
- Optimize backend performance and ensure system stability under heavy concurrent load
- Collaborate closely with founders and ML teams to deliver end-to-end agent features
- Establish CI/CD pipelines, monitoring frameworks, and enforce backend security best practices
- Mentor junior engineers and contribute to team culture and best practices
Requirements
- 5+ years designing, implementing, and maintaining backend systems in Python
- Experience building distributed, scalable services with microservices or serverless architectures
- Strong grasp of relational and NoSQL databases, message queues (e.g., Kafka), and ETL patterns
- Proven track record in API design (REST/gRPC), authentication, and reliable asynchronous processing
- Familiarity with containerization (Docker, Kubernetes) and observability tools (Prometheus, Grafana)
- English B2
Nice to Haves
- Prior experience launching AI products or backend systems for ML/agent-driven applications
- Knowledge of LLM APIs, prompt pipelines, and agent orchestration
- Familiarity with cloud-native tools (AWS Lambda, S3, DynamoDB, GCP/Azure equivalents)
- Experience in startup or early-stage environments
Why You Should Join
- Competitive equity & pay – get in early and own what you build.
- Work closely with experienced founders with a proven startup track record.
- Move fast, ship fast – no corporate bureaucracy.
- Shape the AI revolution in healthcare – massive market, untapped potential