Senior AI Engineer

Edge Case Research•Pittsburgh, PA

20d•$150,000 - $175,000

About The Position

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. 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.

Requirements

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.

Nice To Haves

Experience with Gen AI workflows
Worked with AWS AI frameworks like Sagemaker and Bedrock
Experience with developing AI agents

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.