Senior Backend Engineer (Python) - AI

SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes:

• SplitMetrics Acquire: A platform for automating and optimizing Apple Ads.
• SplitMetrics Agency: A full-service mobile marketing agency staffed by top experts.
• SplitMetrics Optimize: An A/B testing platform recognized as the ASO Tool of the Year.
• App Radar by SplitMetrics: An ASO platform with advanced keyword and competitor insights.

Why SplitMetrics?

• Over 11 years at the forefront of the mobile marketing industry, building market-leading technologies.
• An Apple Ads Partner and the first company to build the Apple Ads management platform.
• Working with top mobile companies globally (Skyscanner, Glovo, Flo, Babbel, Wooga, and many more).
• Over $1 billion in ad spend flowing through our ecosystem.
• Integrated AI into our strategic approach since 2023.
• Effectively collaborate across 20+ countries with a remote-first and supportive culture.

We’re looking for a Senior Backend Engineer (Python) to join our team.

What will you do:

• Design and build backend services in Python (FastAPI).
• Implement async job execution and status tracking (Redis, Celery, Kafka).
• Integrate with LLM services (internal and external).
• Store, version, and serve creative assets efficiently.
• Develop APIs for Creative Dashboard and internal AI agents.
• Build and maintain external MCP servers that expose our 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.

About you:

• 4+ years of Python backend experience.
• Strong FastAPI experience.
• Solid PostgreSQL and S3 (or equivalents) knowledge.
• Experience with async task queues (Celery, Redis, Kafka).
• Production experience integrating with microservices: long-running jobs, retries, and failure handling.
• Solid hands-on experience with agentic AI: building MCP servers, implementing agents, and working with various LLMs and generative models.
• Genuine enthusiasm for agentic AI and keeping up with field evolution.
• Basic observability skills (logging, monitoring, alerting).
• Experience in cross-functional teams (frontend, ML).
• Experience with AWS infrastructure, Docker, and Kubernetes.

Nice to have:

• Familiarity with LangChain or agentic workflows.
• Marketing technology background (ad platforms, creative tools).
• Experience with StarRocks or other OLAP databases (e.g., ClickHouse).

What is there for you?

• Time Off: Vacation and public holidays following your country's regulations, plus additional annual PTO for personal rejuvenation.
• Health and Wellness: Medical insurance or health care compensation, and paid sick leave.
• Professional Development: Top online/offline conferences, mobile industry events, and internal courses.
• Performance and Growth: Micro-management-free environment, semi-annual performance reviews, and an internal mobility program.
• Team Engagement: Corporate online events, offline team retreats, and cross-team collaboration.
• Work Flexibility: Flexible working schedule and a remote-first working environment.
• Workspace Options: Coworking costs coverage program and office hubs in key locations.