Software Engineer - AI Platform
Superblocks- Full Time
- Senior (5 to 8 years)
Candidates should have 3-10+ years of software engineering experience with proficiency in backend and systems engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems is required, along with hands-on experience with Kubernetes, CI/CD, and cloud platforms such as AWS, GCP, or Azure. A strong interest in AI-native development is also essential.
As an AI Platform Engineer, you will design, build, and optimize Distillery, our AI-native platform for enterprise AI systems. You will develop scalable AI infrastructure, ensure system reliability, and collaborate with engineers and business leaders to address complex AI deployment challenges. Key tasks include building and scaling AI-native infrastructure, developing cloud-native microservices, optimizing system performance and reliability, and collaborating with cross-functional teams to translate operational needs into platform capabilities.
Provides customized AI solutions for enterprises
Distyl.ai provides artificial intelligence solutions tailored for enterprises, focusing on enhancing productivity and streamlining operations. Their products utilize generative AI and large language models, which can be customized to fit a client's specific data, workflows, and systems. This customization allows for smooth integration with existing technologies. Distyl.ai serves a wide range of clients, including Fortune 500 companies in sectors like Consumer Packaged Goods, Retail, Healthcare, Finance, and Manufacturing, as well as federal agencies. The company’s experienced team, which includes professionals from major tech firms and top AI research institutions, enables them to create scalable solutions that meet high standards. Distyl.ai aims to unlock value for clients quickly, typically within a quarter, by providing tailored AI applications that address unique business needs.