About Edge Case:
At Edge Case, our mission is to enable the safe deployment of frontier technologies and sophisticated systems. We enable our customers to assure the safety of autonomous systems for real-world deployment. We are developing products that define and measure the safety of autonomous systems. Our client base spans diverse markets such as automotive, mining, defense, insurance, and aerospace. Edge Case is founded by the recognized world leaders in autonomous system safety and autonomous vehicle safety. Our experts are writing the standards and developing the products that will bring innovation safely into society.
What You'll Do:
As an AI Engineer, you will contribute to the development of our Safety engineering SaaS product, focusing on building AI-powered ecosystems that simplify workflows. You will work with LLM integrations and assist in processing large volumes of customer data, and helping synthesize safety-related insights and artifacts from the data.
Key Responsibilities:
- Conduct data collection, experimentation, and analysis to drive algorithmic development for RAG and multi-step AI pipelines.
- Zero-to-one product development: rapidly prototype, evaluate, integrate, and test new product features in close partnership with our legal team.
- Develop new AI native workflows: implement streaming, long-running tasks, procedural UX, etc. for new AI tasks, finding the balance between state-of-the-art and pragmatism.
- Design scalable and efficient distributed systems.
- Ensure features are complemented with tests, monitoring, and security.
- Collaborate closely with product lead, UX design lead, and technical lead to create the best possible solutions for customers.
Preferred Qualifications:
- Experience with Gen AI workflows
- Worked with AWS AI frameworks like Sagemaker and Bedrock
- Experience with developing AI agents
Required Qualifications:
- For US applications: Authorization to work in the United States is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa.
- Bachelor's in CS, CE, ECE, IT, or equivalent experience in a technical field.
- Experience in AI workflows
- 5+ years of experience as a software engineer or relevant work experience.
- Java, Go, and/or Python in a production setting.
- Strong understanding of software engineering patterns, microservices architecture, and principles.
- Curious and motivated to learn new technologies.
- Ability to adapt to different and changing languages and technologies.
- Experience with data science projects and tools.
Why Edge Case Research?
- Collaborative Culture: Join a dynamic, cross-functional team that values collaboration and innovation.
- Competitive Compensation & Benefits: We offer a competitive salary, benefits package, and opportunities for professional growth and development.
Pay Rate:
The annual base salary range for this position is $150,000-175,000. Please note that the salary information is a general guideline only. Edge Case considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, Parental Leave, Paid time off, and Holidays.
Washington state applicants only: Full-time employees accrue at least 13 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; and receive at least 96 hours for holidays.
Edge Case Research is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. ECR values all employees’ talents and supports an environment that is inclusive and respectful.
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What We Do
Edge Case is the trusted risk-management partner for companies building self-driving trucks, autonomous robotaxis, and smarter passenger cars. We help developers and operators measure, manage, and insure the risks posed by software driving in the real world. Our mission is to deliver the promise of safe autonomous mobility.
