SplitMetrics - Senior Backend Engineer (Python)
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Requirements
• Strong async web framework experience (FastAPI or similar) • Deep understanding of asyncio: gather, semaphores, task groups, error propagation • R&D mindset: running benchmarks, and iterating quickly on prototypes • Experience with microservice integrations: long-running jobs, retries, failure handling • Basic observability skills (logging, Prometheus, Sentry) • Experience with Docker, Kubernetes, AWS infrastructure • Experience with LLM integrations: prompt design, API calls, response handling, retries • Experience building RAG systems: embeddings, vector databases, retrieval and ranking • Familiarity with MCP protocol, LangChain, or agentic workflows • Experience with prompt optimization and evaluation (prompt versioning, A/B testing, quality metrics) • Marketing technology background (Apple Search Ads, ASO) • 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. Additional PTOs annually for personal rejuvenation. • Time Off: • Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. • Health and Wellness: • Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. • Professional Development: • Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. • Performance and Growth: • Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. • Team Engagement: • Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. • Work Flexibility: • Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment. • Workspace Options: • Our Culture • At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: • Move Fast • Get Sh*t Done • Build Together • Strive for Transparency • Own What You Do • Own What You Do • Learn + Share = Excel • Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. • Remote Hiring Guidelines:
Benefits
• For almost 10 years, we've been at the forefront of the mobile marketing industry, providing 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: • What will you do: • Design and build backend services in Python (FastMCP, FastAPI) • Implement MCP tool and agent-ready workflows (tool schemas, orchestration) • Build async pipelines using asyncio (concurrent I/O, task orchestration, background jobs) • Integrate with LLM services: prompt engineering, structured output parsing, token/cost management • Develop RAG pipelines: embeddings, vector search, retrieval strategies, chunking • Research and prototype new approaches: evaluate models, benchmark retrieval methods, experiment with agent architectures • Design experiments, track quality metrics, turn R&D findings into production features • Develop APIs for AI agents and internal dashboards • Ensure stability, observability, and cost-efficient inference
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