Senior Backend Engineer (Python) - AI

About the 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:

- 5+ 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. Clickhouse)

WHAT IS THERE FOR YOU?