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Software Engineer, Applied AI

CleraIndustrial Electrification company
San Francisco, United States$150,000 – $250,000 USD annuallyMid
Data & AI

About the role

TL;DR

Build and operate applied AI systems, shipping agent-powered features and full-stack applications.

  • We're a small, ambitious team building applied AI systems at the intersection of private market investing and cutting-edge model capabilities.
  • This is an early
  • to mid-career role for a software engineer who wants to own production systems end to end
  • shipping agent-powered features, full-stack applications, and durable workflows that turn improving model capabilities into dependable, economically valuable tools.
  • Key Responsibilities Build and operate production systems spanning agent architectures, full-stack applications, durable workflows, and data infrastructure.
  • Own system design, deployment, and iteration for agent-powered features from concept to production.
  • Evaluate new models, frameworks, tool-use patterns, and context strategies
  • then productionize the improvements that matter.
  • Build evaluation pipelines, observability tooling, and human-review systems to make agent behavior measurable and reliable.
  • Design and implement interfaces that make complex agent workflows clear, fast, and intuitive for end users.
  • Requirements A few years of software engineering experience with strong fundamentals and a proven track record of shipping production systems.
  • Hands-on experience building and operating human-in-the-loop evaluation and review systems to monitor and improve agent behavior.
  • Experience designing and implementing evaluations and metrics to measure model performance, reliability, and production impact of AI agents.
  • Direct experience with LLM applications, agents, tool use, or other applied AI systems.
  • Based in San Francisco or excited to relocate
  • this role is fully in-person.
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Required skills

PythonLLMsLangChainOpenAI APIAnthropic APIGemini APIReactNode.jsDockerKubernetesGitSQL

Nice-to-have skills

Prefect

Domain expertise

fintechai

Benefits & perks

Equity participation

Tech stack

PythonJavaScriptTypeScriptLLMsLangChainOpenAI APIAnthropic APIGemini APIReactNode.jsAWSGoogle CloudAzureDockerKubernetesGitLinuxSQL

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