Job Description

• Craft and develop high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability.
• Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability.
• Contribute to the platform's technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. 

• Work collaboratively within a cross-functional team (AI/research engineers, software engineers, architects, product managers, designers) to translate complex platform and product requirements into well-defined, scalable, and modular AI, software and infrastructure components.
• Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences.
• Provide mentorship and guidance to junior engineers, fostering their growth and development. 

• Own the seamless integration of developed components into the platform, ensuring efficient operation and high availability.
• Implement robust monitoring and alerting strategies to proactively identify and troubleshoot potential issues.
• Champion DevOps practices streamlining the software development lifecycle and delivery process. 

• Minimum of 5 years in designing, building, and operating cloud services, with proficiency in container and orchestration frameworks such as Docker and Kubernetes. Experience with common software defined infrastructure (infrastructure-as-code) frameworks to deploy and manage cloud environments. AI/ML/Data experience is strongly preferred. 

• Comprehensive hands-on experience in the full-stack development lifecycle, including design, prototyping, building, testing, deployment, and operations of enterprise platforms and products, preferably with AI/ML/data components. 

• Deep knowledge of essential software development skills and experience in more than 1 of the following languages: Java, JavaScript, Python, Golang, or C++.
• AI/ML Experience (Strongly Preferred): Prior experience in building and managing ML/AI platforms and services, including familiarity with MLOps lifecycle, frameworks, and tools. Familiarity with modern GenAI/LLM services, AI agent frameworks like LangChain, LlamaIndex is highly desired.  
• Growth Mindset: A naturally curious attitude with a proactive approach to learning, experimenting, building, operating, and improving the development of a cutting-edge intelligent platform. Flexible, learn-it-all attitude, encouraging sharing and collaborative growth in an intense and fun work environment.