EU remote
Senior Backend Engineer (Python) - AI
About this role
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? - For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies. - An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform. - Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more.
- Generating an impressive transaction volume, with 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) who will 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 & external) - 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 Python backend experience - Strong FastAPI experience - Solid PostgreSQL + S3 (or equivalents) - Experience with async task queues (Celery, Redis, Kafka) - Production experience integrating with microservices: long-running jobs, retries, failure handling - Solid hands-on experience with agentic AI: building MCP servers, implementing agents, and working with various LLMs and other generative models - Genuine enthusiasm for agentic AI and keeping up with how the field evolves - Basic observability skills (logging, monitoring, alerting) - Experience in cross-functional teams (frontend, ML) - Experience with AWS infrastructure, Docker, Kubernetes It would be great if you have: - Familiarity with LangChain or agentic workflows - Marketing technology background (ad platforms, creative tools) - Experience with StarRocks (or other OLAP databases, ex.