Security Software Engineer, AI & Automation

Your experience

• 3+ years of software engineering or security engineering experience
• Strong proficiency in Python or Go for building production-grade backend services, APIs, and data pipelines; comfort moving between languages is expected
• Experience building and maintaining backend services including REST APIs, authentication, authorization, rate limiting, streaming, and observability
• Working knowledge of application security concepts including common vulnerability classes such as injection, broken authentication, cross-site scripting, insecure authorization, and secrets exposure; experience with threat modeling and SSDLC practices
• Hands-on experience building AI-powered systems using LLM APIs, including retrieval-augmented generation (RAG) pipelines, multi-agent architectures, and semantic search; working understanding of AI-specific security risks such as prompt injection, sensitive data exposure, and secure handling of model inputs and outputs
• Genuine interest in AI and how it applies to security, not just as a tool to use, but as a domain to understand deeply, including its limitations and risks
• Experience developing and operating distributed systems and cloud-based environments, including message queues, NoSQL databases, AWS, containers, Kubernetes or ECS, serverless, and infrastructure as code
• Understanding of caching and performance patterns including Redis, semantic caching, TTLs, and cache invalidation
• Strong communication skills, able to explain complex AI and security concepts clearly to both technical and non-technical audiences, and confident advising stakeholders on tradeoffs and limitations

Where

• This role will be remote (based in the U.S.).
• We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family.