Senior Backend Engineer (Python) - AI

SplitMetrics

1d•Remote

About The Position

SplitMetrics is hiring a Senior Backend Engineer (Python) to join its team and build backend capabilities for its mobile marketing products and AI initiatives. The role focuses on Python and FastAPI services, asynchronous job execution, integrations with internal and external LLM services, and external MCP servers that make the platform available to third-party AI agents and clients. It also involves developing ETL pipelines, maintaining data quality, and supporting system stability, observability, and cost-efficient inference. The role is remote-first, with team members welcomed from various countries; some roles may have location eligibility requirements.

Requirements

At least 5 years of Python backend experience.
Strong FastAPI experience.
Solid PostgreSQL and S3 experience, or equivalent technologies.
Experience with asynchronous task queues such as Celery, Redis, or Kafka.
Production experience integrating with microservices, including long-running jobs, retries, and failure handling.
Hands-on experience with agentic AI, including building MCP servers, implementing agents, and working with various LLMs and other generative models.
Genuine enthusiasm for agentic AI and keeping up with developments in the field.
Basic observability skills, including logging, monitoring, and alerting.
Experience working in cross-functional teams, including frontend and ML.
Experience with AWS infrastructure, Docker, and Kubernetes.

Nice To Haves

Familiarity with LangChain or agentic workflows.
Marketing technology background, such as ad platforms or creative tools.
Experience with StarRocks or other OLAP databases, such as ClickHouse.

Responsibilities

Design and build backend services in Python using FastAPI.
Implement asynchronous job execution and status tracking using technologies such as Redis, Celery, and Kafka.
Integrate with internal and external LLM services.
Build and maintain external MCP servers that expose the platform to third-party AI agents and clients.
Develop ETL pipelines and ensure data quality across ingestion, transformation, and storage.
Ensure stability, observability, and cost-efficient inference.

Benefits

Vacation and public holidays in accordance with the employee's country's regulations.
Additional annual paid time off for personal rejuvenation.
Medical insurance or health care compensation.
Paid sick leave.
Access to online and offline conferences and mobile industry events.
Internal courses for professional development.
Supportive, non-micromanagement management style.
Semi-annual performance review sessions.
Career opportunities through an internal mobility program.
Corporate online events and offline team retreats.
Flexible working schedule.
Remote-first working environment.
Coworking costs coverage program.
Office hubs in key locations.