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Senior Backend Engineer (Python) - AI

Backend Full-time Permanent Europe time zones

Job details

Not specified Salary
Europe time zones Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Design and operate Python backend services that power AI-assisted creative tools and workflows. The role combines APIs, asynchronous processing, asset management, and integrations with language models and external AI agents, while maintaining reliable data flows and cost-aware inference.

Responsibilities - Build backend services and APIs in Python, including endpoints for a creative dashboard and internal AI agents. - Implement asynchronous job execution and status tracking using tools such as Redis, Celery, or Kafka. - Integrate internal and external language model services, and build external MCP servers for third-party agents and clients. - Store, version, and serve creative assets efficiently. - Develop ETL pipelines and maintain data quality through ingestion, transformation, and storage. - Improve service stability, observability, and inference cost efficiency.

Requirements - At least four years of Python backend development and strong FastAPI experience. - Experience with PostgreSQL and S3 or comparable storage. - Familiarity with asynchronous task queues and production microservices, including long-running jobs, retries, and failure handling. - Practical agentic AI experience, such as building MCP servers and agents and integrating different language or generative models. - Basic logging, monitoring, and alerting skills; experience collaborating with frontend and machine learning teams. - Experience with AWS, Docker, and Kubernetes.

Nice to have - Familiarity with LangChain or agentic workflows. - Background in marketing technology, advertising platforms, or creative tools. - Experience with StarRocks or another analytical database, such as ClickHouse.

Benefits and work setup The role is remote-first, with a flexible schedule and possible location eligibility requirements. Listed benefits include country-based vacation and holidays, additional annual personal time off, medical coverage or healthcare compensation, paid sick leave, professional development courses and events, performance reviews, internal mobility, team events and retreats, and coworking cost coverage or access to office hubs.

Skills detected in the listing

PythonPostgreSQLAWSDockerKubernetesLLM
Detected Oct 14, 2026
Last verified Oct 30, 2026

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