Senior/Staff Software Engineer - AI

Requirements

• A BS/MS/PhD degree in a relevant technical discipline such as Computer Science, Engineering or Information Technology is highly desired, but equivalent experience will be considered as well.
• 2+ years of experience as a technical leader responsible for delivering large and/or complex mission-critical initiatives.
• 5+ years of software development experience with designing and building complex, scalable, high-performing, and robust applications. Familiarity with Kubernetes, Docker, and cloud platforms such as AWS, Azure or GCP.
• Proficient in Java and/or Python, and familiar with IAC technologies such as Terraform and Crossplane.
• Experience in producing high-quality software designs to support long-term maintainability and extensibility of systems and code.
• Experience in MLOps/LLMOps building and/or deploying ML/LLM platforms that host /manage multiple ML/LLM models in production at scale.
• An excellent communicator with strong leadership, organizational, problem-solving, debugging and analytical skills.

Responsibilities

• Lead delivery of cutting-edge AI-powered products in a fast paced environment.
• Partner with AI researchers, product managers, designers and other engineering teams to build best-in-class market intelligence features.
• Be the thought leader and domain expert for all things LLMOps for the company and drive innovation and efficiency for the company in this area.
• Build platforms to help the company accelerate the launch of new and improve existing AI-powered products.
• Build scalable and reliable data pipelines and services that incorporate the use of ML models to solve complex business problems.
• Architect, design and implement highly scalable backend services powering the company Search & AI products.
• Deploy owned services to single tenant cloud environments.
• Provide technical leadership to implement best practices for software development.