Fluency

Fluency

AI Engineer

San Francisco · Exec · Full-time

Sponsorship not specified$180k-$250kDetected 67 days ago
TypeScriptPythonNode.jsAWSMachine LearningNLPLLMsResearch

About the role

  • You'll evaluate them rigorously, iterate until they're production-ready, and keep improving them once they ship.
  • This is an in-person role, 5 days a week in our office.

Responsibilities

  • Build new AI features end to end, from prototype to production.
  • Design and run evals that measure real output quality, not just first impressions.
  • Iterate fast on prompts, agent designs, and orchestration patterns.
  • Partner with the Product Engineer to translate requirements into AI features that actually work.
  • Partner with the AI Platform team to land features on solid infrastructure.
  • Hands-on experience building LLM-powered features that shipped to real users
  • Practical judgment in prompt engineering, retrieval, and agent design, backed by evaluation results
  • Track record of building evaluation systems that actually catch regressions
  • We're hiring a full-time AI Engineer to own the prompts, agents, evals, and pipelines behind user-facing features that ship to users.

Requirements

  • The ability to tell the difference between "looks good in the demo" and "works in production" is essential.
  • Experience with multiple LLM providers such as Anthropic, OpenAI, Google Vertex, AWS Bedrock, or similar
  • Solid software engineering fundamentals: you can write production code, not just notebooks

Nice to have

  • Experience with provider-abstraction libraries for multi-LLM workflows
  • Familiarity with pgvector or other vector retrieval systems
  • Experience with post-training or fine-tuning
  • Experience deploying AI features on AWS Lambda, ECS Fargate, or similar
  • Background in ML, NLP, or applied research
  • Experience with structured output, function calling, and tool use at scale
  • Experience with Anyscale Ray or similar distributed compute frameworks for batch inference, eval pipelines, or scaling agent workloads
  • Open source contributions in the LLM or agent tooling space

Compensation

  • US$1,000 per month food and commuting allowance
  • US$180,000 to US$250,000

Benefits

  • We offer E-3 sponsorship for Australians to relocate with stipend.

Visa & Work Authorization

  • We offer E-3 sponsorship for Australians to relocate with stipend.

This listing is sourced directly from Fluency's careers page and normalized into a canonical job model.