Overview
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We are on a mission to unlock impossible AI for all. Imagine a world in which breakthrough discoveries are commonplace. Here at RAIC Labs, we help organizations transcend data-access and data-quality issues, unleashing the full impact of AI in all fields. Simply put, our technology unlocks previously impossible AI that has the power to change the world. Thats all well and good, but despite our high-tech profile, we recognize that none of this is possible without our people . Which is why were thrilled to be adding a Software Architect to our RAIC Edge team.
In this role, youll be responsible for the full software development lifecycle, from conception to deployment. Ideally, youll be comfortable with both front-end and back-end coding languages, development frameworks, and third-party libraries.
Responsibilities
- Provide technical leadership and vision for the design and development of our RAIC Edge product platform utilizing modern Computer Vision & AI techniques.
- Drive initiatives to improve system reliability, availability, and performance, applying best practices in areas such as fault tolerance, monitoring, and automation
- Build cutting edge user interfaces bridging human interaction with AI
- Collaborate with the AI team to optimize results and performance
- Work with product management to ideate new features
- Identify tech debt and contribute to code refactoring
- Troubleshoot high priority customer facing bugs
- Interact with QA team to ensure software quality on regular product releases
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or Management Information Systems8+ years of software architect experienceHold a security clearanceC# / .NET / PythonNET / Fast API / DAPRModern front-end frameworks (such as ReactJS)Deploying, maintaining, and troubleshooting local Docker environmentsMicroservice implementation and designUnit Testing & SOLID principlesNice-to-have skills
Training Computer Vision AI models and preparing data pipelinesUnderstanding of GPU-accelerated compute environmentsManaging air-gapped Edge application environmentsDocker compose / K3S or similar distributionsDistributed Application Runtime (DAPR)Edge based Identity Providers (such as Authentik / Keycloak)Redis CacheModern CI / CD platforms and workflowsSeniority & Employment
Seniority level : Mid-Senior levelEmployment type : Full-timeJob function : Engineering and Information TechnologyIndustries : Software DevelopmentAI is a complex field with a lot of processes and technologies to learn, and here at RAIC Labs, the sky's the limit! If youre a Software Architect looking for greener pastures, we should talk.
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