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AI Job Summary

Build and ship products across backend, data, infrastructure, and frontend at a seed-stage people data and AI company. You'll design high-volume data pipelines, AI agents, and developer tools while owning systems end-to-end in production. The role requires one to six years of software engineering experience, strong backend skills and distributed systems knowledge, and proven ownership of production systems from concept through deployment. Based in San Francisco, full-time on-site. $200,000–$220,000 annually.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

About the Role

This is a high-ownership engineering role on a small, fast-moving team building core platform capabilities and customer-facing products at a seed-stage people data and AI company. You will work directly with founders and customers to take ambiguous problems from concept through deployment, owning systems end-to-end in production at massive scale.

What You'll Do

  • Build and ship customer-facing products across backend, data, infrastructure, and frontend surfaces.

  • Design and operate high-volume data pipelines and services with strong reliability, security, and observability.

  • Build AI agents, agent harnesses, and developer tools, then operate them reliably at very large scale.

  • Make architecture decisions, explain tradeoffs, and iterate designs as assumptions evolve.

  • Collaborate directly with founders and customers to turn vague requirements into clear product decisions and working software.

  • Use modern AI development tools aggressively while maintaining strong engineering judgment and accountability.

What We're Looking For

  • 1 to 6 years of relevant professional software engineering experience.

  • Strong backend engineering skills: APIs, data models, and distributed systems.

  • Proven ownership of a production system from concept through deployment and ongoing operations.

  • Experience shipping across product and infrastructure at an early-stage startup.

  • Experience building and operating high-volume data pipelines.

  • Strong computer science fundamentals, ideally from a rigorous academic background.

  • Familiarity with AI-native development: LLMs, agent frameworks, or similar tooling is a plus.

  • Experience with identity resolution, data enrichment, or matching systems at scale is a plus.

Compensation & Benefits

Base salary range: $200,000 to $220,000 USD annually (maximum base approximately $220,000). Equity participation is available as part of the total package. Visa sponsorship is not available for this role.

Location

This is a full-time, on-site role based in San Francisco, California.

Do you match this job?

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  • Role Software Engineer, AI & Data Systems
  • Experience 3-4 years
  • Education Any
  • Work type On-site
  • Location United States
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Clera
AI & Machine Learning · 500+ Members · United States

Clera is an AI recruiting platform that introduces candidates directly to hiring managers at the companies they want to work for.

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Job Overview

Approx. salary range

152K – 310K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 286 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Any
Experience
3-4 years

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