Software Engineer, AI & Automation

Nerd Wallet

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$127,000–$207,000 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $167k
$117k most similar roles pay here $224k

This role pays less than 52% of similar roles. Most pay $142,437–$214,000 — the shaded band above. At the midpoint, this role pays about $167k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Nerd Wallet

NerdWallet is a personal finance platform that helps consumers make smarter financial decisions by comparing financial products like credit cards, loans, mortgages, insurance, and investment accounts. Industry: Financial Technology & Personal Finance

Nerd Wallet currently has 2 open roles on FindRole.

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View all roles at Nerd Wallet

At a glance

TL;DR · Software Engineer, AI & Automation

As a Software Engineer, AI & Automation within the Security organization, you will build production software and AI-enabled systems to make security work more scalable and developer-friendly. You will develop multi-agent systems for automated threat modeling and vulnerability analysis, create retrieval-augmented generation and semantic search experiences across code repositories, and build Python services and APIs with robust architecture. Your daily work involves managing practical trade-offs like latency and cost while integrating tools like GitHub, Slack, and Jira into engineering workflows. You will utilize LLM APIs, RAG architectures, and evaluation frameworks to improve system quality. The role focuses on solving the challenge of automating complex security processes in an AI-native environment, requiring proficiency in Python, distributed systems, and backend architecture to ensure secure, reliable, and high-performing software for internal developer tools.

What does a Software Engineer earn in Remote?

Median $202482 from 408 postings across 57 companies.

See salary data

What you'll do

  • Build AI-enabled workflows and multi-agent systems to automate security design reviews, threat modeling, and vulnerability analysis.
  • Develop RAG and semantic search experiences across large code and documentation repositories.
  • Create automated code-review capabilities to identify insecure patterns early in the development lifecycle.
  • Build production Python services and APIs with robust architecture, authentication, and observability for security workflows.
  • Design and operate scalable pipelines to ingest, process, and index large volumes of data.
  • Improve AI system quality through evaluation frameworks, prompt management, and evidence-based iteration.
  • Manage production tradeoffs including latency, reliability, model selection, and cost optimization.
  • Implement security controls for AI applications, such as prompt injection defenses and sensitive-data handling.

What we're looking for

  • Must have 3+ years of professional software engineering experience building and operating production software.
  • Must have strong Python proficiency, including hands-on experience building production backend services and APIs.
  • Must have experience designing maintainable backend architectures with authentication, authorization, testing, and observability.
  • Must have experience developing distributed or cloud-based systems while managing scalability, reliability, and performance.
  • Must have hands-on experience building production AI-enabled applications using LLM APIs, agents, RAG, or comparable architectures.
  • Must have experience defining, evaluating, and improving the quality of AI-enabled systems in production.
  • Must possess strong communication skills to explain technical decisions and tradeoffs clearly.
  • Must be based in the U.S.

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