Software Engineer, AI & Data Systems
Clera · San Francisco, CA
FULL-TIME
Posted Sep 13, 2026
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 infrastructure company. You will work directly with founders and customers to turn ambiguous problems into shipped, production-owned software. The role spans backend, data, infrastructure, and frontend surfaces at massive scale.
What You'll Do
- Build and ship customer-facing products and core platform capabilities 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 change.
- Work directly with founders and customers to turn vague requests into clear product decisions and working software.
- Use modern AI tools aggressively while maintaining strong engineering judgment and accountability.
What We're Looking For
- 1 to 6 years of relevant professional engineering experience.
- Strong CS fundamentals, ideally from a rigorous academic background.
- Proven experience owning a production system end-to-end, from concept through deployment and ongoing operations.
- Strong backend coding skills: APIs, data models, and distributed systems.
- Experience at an early-stage startup (seed to Series A/B) shipping across both product and infrastructure.
- Experience building and operating high-volume data pipelines.
- Hands-on experience with AI-native development: LLMs, agent frameworks, and related tooling.
- Familiarity with identity resolution, data enrichment, or matching systems at scale is a plus.
- Compensation expectations aligned with a base salary up to approximately $220k.
Compensation & Benefits
Base salary range: $200,000 to $280,000 USD annually. Visa sponsorship is not available for this role.
Location
On-site in San Francisco, California, USA.
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 infrastructure company. You will work directly with founders and customers to turn ambiguous problems into shipped, production-owned software. The role spans backend, data, infrastructure, and frontend surfaces at massive scale.
What You'll Do
- Build and ship customer-facing products and core platform capabilities 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 change.
- Work directly with founders and customers to turn vague requests into clear product decisions and working software.
- Use modern AI tools aggressively while maintaining strong engineering judgment and accountability.
What We're Looking For
- 1 to 6 years of relevant professional engineering experience.
- Strong CS fundamentals, ideally from a rigorous academic background.
- Proven experience owning a production system end-to-end, from concept through deployment and ongoing operations.
- Strong backend coding skills: APIs, data models, and distributed systems.
- Experience at an early-stage startup (seed to Series A/B) shipping across both product and infrastructure.
- Experience building and operating high-volume data pipelines.
- Hands-on experience with AI-native development: LLMs, agent frameworks, and related tooling.
- Familiarity with identity resolution, data enrichment, or matching systems at scale is a plus.
- Compensation expectations aligned with a base salary up to approximately $220k.
Compensation & Benefits
Base salary range: $200,000 to $280,000 USD annually. Visa sponsorship is not available for this role.
Location
On-site in San Francisco, California, USA.
Additional Details
- City
- San Francisco
- State
- California
- Country
- US
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