Senior Backend Engineer — Build AI-Powered Wealth Platform

Finn; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Finn in San Francisco is seeking a Senior Backend Engineer to design and own the core backend infrastructure for the first AI-powered wealth manager. You will work with a multi-agent LLM architecture and massive financial datasets to enable AI-driven insights and actions.

We are looking for a candidate with 5+ years of backend experience, fluency in Node/Typescript, Python, Postgres, and AWS, and a proven ability to craft distributed systems using Kafka, Redis, and Kubernetes.

Qualifications

• 5+ years of backend experience.
• Experience with LLM models and AI-driven systems.
• Fluent in Node/Typescript, Python, Postgres, and AWS.
• Architect distributed systems with Kafka, Redis, Kubernetes.
• Experience with performance and optimization issues.
• Ability to own projects from start to finish in a startup environment.

Responsibilities

• Build Finn, the first AI-powered wealth manager.
• Design and own the core backend infrastructure, including our multi-agent LLM architecture.
• Work with massive financial datasets at scale, enabling LLMs to interpret, evolve, and act on data points.
• Push the boundaries of AI in money management, including autonomous financial planning.
• Collaborate with frontend, design, and founding team to craft world-class user experiences.

Skills

Backend engineering

LLMs & AI

Node/Typescript

Python

PostgreSQL

AWS

Performance optimization

Ownership

Tools

Kafka

Redis

Kubernetes

Job description

Finn in San Francisco is seeking a Senior Backend Engineer to design and own the core backend infrastructure for the first AI-powered wealth manager. You will work with a multi-agent LLM architecture and massive financial datasets to enable AI-driven insights and actions.

We are looking for a candidate with 5+ years of backend experience, fluency in Node/Typescript, Python, Postgres, and AWS, and a proven ability to craft distributed systems using Kafka, Redis, and Kubernetes.