> Markdown version of [/jobs/ext/3873266-senior-backend-engineer-python-ai](https://www.wearedevelopers.com/jobs/ext/3873266-senior-backend-engineer-python-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Backend Engineer (Python) - AI - **Company:** Splitmetrics, Inc - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon S3, Databases, Extract Transform Load (ETL), Python (Programming Language), PostgreSQL, Online Analytical Processing, Redis, Data Logging, Large Language Models, Backend, Agentic-AI, Fastapi, Build Management, Kubernetes, Apache Kafka, Celery, Front End Software Development, Vertica, Network Server, Docker, Microservices - **Published:** October 22, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pthl7liysc ## About the Role * 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. Clickhouse) ## Description * 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