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We are building the next generation of intelligent consumer experiences and devices, combining advanced hardware, connectivity, and AI to create seamless everyday experiences. Our team brings together specialists in acoustics, sensing, and system design, united by the goal of pushing the boundaries of what small, low-power devices can achieve. Currently we are looking for a full stack software engineer to help build the next wave of capabilities of AI system. We hope you have experience with LLM products on the market and remain optimistic and hopeful about the future of AI. Additionally, we expect you to have development experience in LLM applications and be familiar with various open-source LLM projects.
Job Responsibility:
Collaborates with appropriate stakeholders to determine user requirements for a scenario.
Drives identification of dependencies and the development of design documents for a product, application, service, or platform.
Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Familiarity with the open-source project Dify/CrewAI or experience contributing to other open-source LLM projects.