LiteLLM Logo

LiteLLM

Senior Backend Engineer

Reposted 2 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
200K-260K Annually
Senior level
In-Office
San Francisco, CA, USA
200K-260K Annually
Senior level
The Senior Backend Engineer will design and scale backend guardrails, enhance observability tools, ensure error transparency, and maintain compliance for high-volume traffic systems.
The summary above was generated by AI

Senior Backend Engineer

LiteLLM is the world's most popular AI Gateway, trusted by top companies like Adobe, Netflix, and NASA. Our platform empowers developers by providing secure, reliable access to LLMs and adjacent services, and we're looking for a Senior Backend Engineer to help us build rock-solid guardrails and observability tooling at scale.

About The Role
You’ll focus on owning our guardrails and logging world-class. You will be in charge of the backend code that ensures all guardrail calls are consistently logged, errors are surfaced to users (not silently swallowed), and our observability instrumentation works for real-world, high-volume traffic. Your attention to detail in areas like latency metrics, logging traceability, and backend guardrail registration will directly impact user trust in our security and compliance features.

Responsibilities

  • Build and scale our product, ensuring performance, reliability, and continuous improvement.

  • Ensure all guardrail and policy enforcement calls (e.g., applyguardrail) are properly logged and traceable through our SpendLogs and relevant database tables

  • Build and design CPU-level guardrails to cover common attacks on LLM API's / MCP servers / Agents

  • Identify and fix areas where silent failures occur in guardrail creation, registration, and policy application—ensuring robust error handling and transparency to end users

  • Work with observability integrations, including Datadog, Splunk, Prometheus, and OpenTelemetry, to maintain accurate, configurable, and usable monitoring and logging for backend systems

  • Enhance observability integrations to work for 1B+ requests/mo., with minimal latency overhead and no memory leaks (e.g. due to cardinality of Prometheus metrics)

  • Collaborate cross-functionally on backend engineering priorities (performance, reliability, security)

What We’re Looking For

  • Bachelor’s or Master’s in Computer Science or related field

  • 1+ years of experience with Python and backend frameworks (e.g. FastAPI, Flask)

  • Understanding of logging best practices, error handling, and secure backend development

  • Exposure to monitoring, logging, or metrics platforms (Datadog, Splunk, Prometheus, OpenTelemetry)

  • Familiarity with database integration and troubleshooting (PostgreSQL, Redis, etc.)

  • Driven to deliver high-quality backend code with strong guardrails, auditing, and debugging capabilities

  • Eagerness to tackle hard bugs and ensure system transparency for end users

Why Join LiteLLM?

  • High-impact, mission-critical work on the core of compliance and reliability

  • Contribute directly to features used by enterprise customers at global scale

  • Fast-paced growth environment with room for technical ownership

  • Competitive salary, health, dental, and vision benefits

About LiteLLM
LiteLLM (https://github.com/BerriAI/litellm) is a Python SDK and Proxy Server enabling seamless calls to 100+ LLM APIs in the OpenAI format, trusted by industry leaders worldwide.

Ready to shape the future of secure, observable AI infrastructure? Apply now!

Similar Jobs

4 Days Ago
Hybrid
San Francisco, CA, USA
150K-245K Annually
Senior level
150K-245K Annually
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Design and operate scalable, event-driven backend systems in Python to power agentic AI workflows and real-time financial infrastructure. Own APIs, data architecture, reliability primitives, and platform foundations while partnering with ML and product teams to productionize AI-native financial systems.
Top Skills: BigQueryCloud SqlFastapiGCPGoogle Cloud Pub/SubGoogle Cloud RunGoogle KmsNoSQLPydanticPythonSQL
10 Days Ago
Easy Apply
Remote or Hybrid
San Francisco, CA, USA
Easy Apply
188K-206K Annually
Senior level
188K-206K Annually
Senior level
Fintech • Mobile • Software • Financial Services
Lead development, testing, and migration of core banking systems. Shape technical architecture, translate product requirements into technical solutions, deliver scalable high-availability services, support integrations, and mentor the engineering team while owning project delivery.
Top Skills: Fis ProfileGt.MLinuxMumpsPslService-Oriented ArchitectureUnix
19 Days Ago
Hybrid
142K-189K Annually
Senior level
142K-189K Annually
Senior level
Digital Media • Information Technology • News + Entertainment
Lead the design and development of backend systems for a video streaming platform, including API design, database management, and system integration.
Top Skills: AWSAzureDockerGCPJavaKubernetesLinuxMongoDBMySQLOraclePostgresRestSoap

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account