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Job Description: About the job
We are seeking a Senior Software Engineer (Engineer IV) with experience building AI-powered SaaS features and agentic solutions. This role is ideal for engineers who thrive at the intersection of application development and applied AI — delivering production-ready, customer-facing solutions that leverage large language models, generative AI, and cloud-native services.
As a Senior Engineer, you’ll design, develop, and ship AI-driven product features that make compliance and risk management smarter and more efficient. You’ll own major projects, mentor teammates, and work closely with architects to ensure our AI integrations are scalable, ethical, and secure.
This position can be based out of our HQ in Portland, OR, or remote from anywhere in the U.S.Essential Responsibilities & Duties:
AI Development

Design and implement AI-driven features and agentic solutions using AWS Bedrock or equivalent AI platforms.

Integrate LLMs, retrieval-augmented generation (RAG), and workflow orchestration into SaaS products.

Ensure AI solutions meet standards of reliability, compliance, and ethical use.

Engineering Leadership

Own end-to-end delivery of major features or subsystems, from technical design through deployment and monitoring.

Mentor and support junior and mid-level engineers, raising the team’s AI development skills.

Contribute to architectural reviews, aligning with staff engineers on long-term AI strategies.

Full-Stack Product Development

Build and maintain SaaS applications using Angular, TypeScript, Node/NestJS, Go, and AWS services.

Collaborate with product, design, and data science teams to translate business needs into AI-enabled solutions.

Ensure high standards for code quality, scalability, and security.

Qualifications:

7+ years of professional software engineering experience, including SaaS product delivery.

Proven experience developing production-ready AI features and/or agentic systems (AWS Bedrock strongly preferred).

Strong proficiency in at least one major programming language (TypeScript, Go, Python, etc.) and cloud-based environments (AWS preferred).

Demonstrated ability to design and deliver scalable APIs, microservices, and distributed systems.

Experience mentoring and leading engineers through technical challenges.
Research shows that people who identify as being from underrepresented groups are more likely to doubt the strength of their qualifications, so we encourage you to submit an application if you're interested in this role despite any reservations you may have about your background or skill set.

What is Nice to Have:

Familiarity with compliance, privacy, or regulated industry SaaS environments.

Experience with RAG pipelines, orchestration frameworks, or multi-agent AI systems.

Strong understanding of security and governance requirements for AI applications.