Senior Backend Engineer, Entities

EvenUp EvenUp · Vertical AI · San Francisco, CA · Hybrid · Engineering

This role focuses on building and optimizing backend systems and infrastructure for deploying LLM-based algorithms and services within the AI Platform team. It involves end-to-end ownership of projects, cross-team enablement, and ensuring reliability, observability, and performance of AI-powered systems. The role operates at the intersection of backend engineering, LLM integration, and experimentation, aiming to make LLMs more accessible, scalable, and impactful across the engineering organization.

What you'd actually do

  1. Lead the design, development, and optimization of robust backend systems for deploying LLM-based algorithms and services.
  2. Manage projects through their complete lifecycle—from architecture to deployment, monitoring, and improvement.
  3. Work with other engineering teams to understand use cases and deliver scalable platform solutions.
  4. Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes, Elasticsearch).
  5. Grow as an engineer working alongside world-class peers on impactful, cutting-edge generative AI projects.

Skills

Required

  • Python
  • Postgres
  • Kubernetes
  • Elasticsearch
  • distributed systems
  • reliability
  • observability
  • performance
  • production-ready code
  • infrastructure management
  • RESTful APIs
  • complex technical projects
  • startup environments
  • collaboration
  • ownership

Nice to have

  • AI systems
  • LLMs
  • machine learning infrastructure
  • legal tech
  • social impact products
  • internal platforms
  • developer-facing tools
  • Go
  • Java
  • C++

What the JD emphasized

  • robust backend systems
  • LLM-based algorithms
  • scalable platform solutions
  • high-quality, maintainable code
  • impactful, cutting-edge generative AI projects
  • reliability, observability, and performance
  • production-ready code
  • managing infrastructure
  • building RESTful APIs
  • owning and delivering complex technical projects
  • startup or high-growth environments
  • AI systems
  • LLMs
  • machine learning infrastructure

Other signals

  • LLM-powered systems
  • generative AI problems
  • AI platform