Senior Backend Engineer (Python) - FastAPI & AI Systems

SplitMetrics; Województwo mazowieckie; Remote; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Vacation & holidays

Medical insurance

Professional development

Performance reviews

Team events

Remote-friendly

Office hubs

Job summary

SplitMetrics is hiring a Senior Backend Engineer (Python) to design and build scalable backend services in a remote-first setup. You will implement async job execution, integrate with LLM services, and ensure data quality and reliability across ETL pipelines.

The role requires 4+ years in Python backend work, strong FastAPI and PostgreSQL/S3 skills, and hands-on experience with AWS, Docker, and Kubernetes, with a focus on agentic AI capabilities.

Qualifications

• 4+ years of Python backend development experience.
• Strong experience with FastAPI.
• Solid PostgreSQL and S3 (or equivalents).
• Experience with async task queues: Celery, Redis, Kafka.
• Production experience with microservices, long-running jobs, retries, and failure handling.
• Hands-on experience with agentic AI: MCP servers, agents, and various LLMs.
• Familiarity with AWS, observability basics (logging/monitoring), and cross-functional collaboration.

Responsibilities

• Design and build backend services in Python using FastAPI.
• Implement asynchronous job execution and status tracking (Redis/Celery/Kafka).
• Integrate with internal and external LLM services.
• Store, version, and serve creative assets efficiently.
• Develop MCP servers to expose our platform to third-party AI agents and clients.
• Build ETL pipelines and ensure data quality from ingestion to storage.
• Ensure system stability, observability, and cost-efficient inference.

Skills

Python

FastAPI

Agentic AI

Observability

Cross-functional teamwork

AWS

Tools

PostgreSQL

S3

Celery

Redis

Kafka

Docker

Kubernetes

Job description

SplitMetrics is hiring a Senior Backend Engineer (Python) to design and build scalable backend services in a remote-first setup. You will implement async job execution, integrate with LLM services, and ensure data quality and reliability across ETL pipelines.

The role requires 4+ years in Python backend work, strong FastAPI and PostgreSQL/S3 skills, and hands-on experience with AWS, Docker, and Kubernetes, with a focus on agentic AI capabilities.