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Senior Backend Engineer

Finvest - San Francisco

Posted Jun 12, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Senior Backend Engineer San Francisco We are looking for a senior engineer to join our team in San Francisco. As one of the founding members of our team, you will play a critical role in shaping our product and engineering culture. What you will do - Build Finn, the first AI-powered wealth manager. - Design and own the core backend infrastructure, including our multi-agent LLM architecture that powers financial reasoning, simulations, and user interactions. - Work with massive financial datasets at unprecedented scale, inventing systems that let LLMs interpret, evolve, and act on billions of real-world data points. - Push the boundaries of what AI can do in money management, from autonomous financial planning to market-aware agentic systems. - Collaborate closely with frontend, design, and the founding team to craft world-class user experiences that feel magical. What you are good at - Have 5+ years of experience as a backend engineer developing and deploying production-level backend systems - Experience with LLM models and AI-driven systems - either from past projects or a strong willingness to work on LLM-powered applications - Fluent in Node/Typescript, Python, Postgres, and AWS - Proven ability to architect complex distributed system with experience in services like Kafka, Redis, Kubernetes - Experience with performance and optimization problems and eagerness to both diagnose and prevent these problems - Comfortable taking ownership from start to finish, build new systems from scratch, and iterate quickly in a startup environment. If you want to build systems that rethink how people interact

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