Senior Software Engineer, AI Enablement

Chime

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Posted
3 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $179k
$111k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $150,187–$207,856.

Based on 240 similar postings.

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About Chime

Chime is a financial technology company offering mobile-first banking services including fee-free checking accounts, savings accounts, and a secured credit builder card through partner banks. Industry: Financial Technology & Neobanking

Chime currently has 37 open roles on FindRole.

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At a glance

TL;DR · Senior Software Engineer, AI Enablement

Senior Software Engineer, AI Enablement joins the AI Enablement team to build internal platforms, primitives, and guardrails that establish trusted AI co-pilots for employees. You will develop and evolve core systems like Archimedes, Bosun, and easyRAG to power internal assistants, developer workflows, and retrieval-backed applications. The role involves designing reusable platform capabilities such as APIs, SDKs, and shared services while defining golden paths for LLM usage that balance developer velocity with safety, reliability, and cost control. You will prototype new capabilities and implement evaluation, observability, and cost-management practices. To succeed, you must have experience building distributed systems or internal tools using Python, Go, or TypeScript/JavaScript. The work focuses on transforming emerging AI capabilities into durable features while collaborating with Security, Risk, and Legal teams to ensure governed, scalable deployment of LLM-powered tools across the organization.

What does a Software Engineer earn in California?

Median $214000 from 778 postings across 66 companies.

See salary data

What you'll do

  • Build and evolve internal AI platforms like Archimedes, Bosun, and easyRAG to support LLM-powered applications.
  • Design and implement reusable platform capabilities including APIs, SDKs, templates, and shared services for AI tools.
  • Prototype and productionize new AI capabilities by turning successful patterns into durable platform features.
  • Define "golden path" patterns to balance developer velocity with safety, reliability, and cost efficiency.
  • Establish evaluation, observability, and cost-management practices for all internal AI systems.
  • Partner with Security, Risk, and Legal teams to implement practical guardrails for responsible AI development.
  • Drive consistency and standardization in how AI systems are built, deployed, and operated across the company.

What we're looking for

  • Significant experience as a software engineer building distributed systems, platform services, or internal developer tools.
  • Hands-on experience building with LLMs or ML services and shipping production-quality features on top of them.
  • Strong coding skills in at least one of Python, Go, or TypeScript/JavaScript.
  • Familiarity with AI-specific engineering concerns including evaluation, prompt management, observability, cost control, safety, and data privacy.
  • Experience partnering with cross-functional stakeholders such as Security, Risk, Product, and Operations.
  • Strong written and verbal communication skills to explain technical tradeoffs to both technical and non-technical audiences.
  • Ability to participate in an on-call rotation for incident response outside of regular working hours.

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