> Markdown version of [/jobs/ext/2661592-senior-backend-engineer-ai-platform](https://www.wearedevelopers.com/jobs/ext/2661592-senior-backend-engineer-ai-platform). 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, AI Platform - **Company:** Evenup Inc - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $184,728.0 - $249,926.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Distributed Systems, Elasticsearch, Python (Programming Language), PostgreSQL, Machine Learning, Large Language Models, Backend, AI Platforms, Kubernetes, Production Code, Golang - **Published:** August 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=683cede4bf7b562b ## About the Role * Extensive experience building frameworks, libraries, and distributed systems with a focus on reliability, observability, and performance. * Proficiency delivering production-ready code, managing infrastructure, and building RESTful APIs to industry standards. * Experience owning and delivering complex technical projects. * Success in startup or high-growth environments valuing speed, collaboration, and ownership. * Proficiency in Python or other languages (Go, Java, C++). * Strong written and verbal communication skills, with proven cross-disciplinary collaboration., * Background with AI systems, LLMs, or machine learning infrastructure. * Experience in legal tech or social impact-driven products. * Prior work supporting internal platforms or developer-facing tools. ## Description * Backend Systems & Infrastructure: Lead the design, development, and optimization of robust backend systems for deploying LLM-based algorithms and services. * End-to-End Ownership: Manage projects through their complete lifecycle-from architecture to deployment, monitoring, and improvement. * Cross-Team Enablement: Work with other engineering teams to understand use cases and deliver scalable platform solutions. * Engineering Excellence: Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes, Elasticsearch). * Growth & Collaboration: Grow as an engineer working alongside world-class peers on impactful, cutting-edge generative AI projects., * Design, build, and enhance scalable backend systems supporting LLM-driven products and internal platforms. * Own infrastructure and services for reliable deployment, experimentation, and iteration of AI-powered systems. * Collaborate with engineering teams to gather requirements and deliver reusable, scalable solutions. * Influence the technical direction and long-term architecture of EvenUp's AI platform. * Maintain high standards for reliability, performance, observability, and maintainability. * Drive projects from early design through deployment, monitoring, and iterative improvement. ## Related Videos - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)