RadarFirst is seeking to build AI-powered SaaS features and agentic solutions to make compliance and risk management smarter and more efficient.
Requirements
- 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 with RAG pipelines, orchestration frameworks, or multi-agent AI systems.
- Strong understanding of security and governance requirements for AI applications.
Responsibilities
- 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.
- Own end-to-end delivery of major features or subsystems, from technical design through deployment and monitoring.
- 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.
Other
- 7+ years of professional software engineering experience, including SaaS product delivery.
- Experience mentoring and leading engineers through technical challenges.
- Familiarity with compliance, privacy, or regulated industry SaaS environments.
- This position can be based out of our HQ in Portland, OR, or remote from anywhere in the U.S.
- The salary range for this role is $120,000 – $145,000 annually.
