Overview
Working in small, cross-functional teams alongside engineers, data scientists, product managers, and domain experts, you'll own the end-to-end delivery of AI-powered production-grade applications, data solutions, and software systems. Partner directly with customers and stakeholders to understand business challenges, define success criteria, and translate needs into technical solutions. Design, build, test, deploy, and operate secure, reliable, and scalable production-grade software systems and services that apply AI and data capabilities where appropriate. Rapidly move from concept to prototype to production, iterating alongside customers to deliver measurable business outcomes. Build production-quality software that connects customer systems, data, and AI capabilities into reliable end-to-end solutions. Apply engineering best practices including code reviews, automated testing, CI/CD,
Full job description
Full Job Description
Working in small, cross-functional teams alongside engineers, data scientists, product managers, and domain experts, you'll own the end-to-end delivery of AI-powered production-grade applications, data solutions, and software systems. Partner directly with customers and stakeholders to understand business challenges, define success criteria, and translate needs into technical solutions. Design, build, test, deploy, and operate secure, reliable, and scalable production-grade software systems and services that apply AI and data capabilities where appropriate. Rapidly move from concept to prototype to production, iterating alongside customers to deliver measurable business outcomes. Build production-quality software that connects customer systems, data, and AI capabilities into reliable end-to-end solutions. Apply engineering best practices including code reviews, automated testing, CI/CD, observability, documentation, and security-first development. Drive end-to-end ownership of customer solutions, monitoring performance, reliability, quality, and maintainability, and continuously improving deployed systems after release. Collaborate across engineering, data science, product management, design, and customer teams to solve complex technical problems. Contribute reusable components, reference implementations, and best practices that can be leveraged across customer engagements. Foster a culture of learning, inclusion, innovation, and continuous improvement while contributing to the growth of the broader FDE community. Embody our culture and values. Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Bachelor's Degree (or currently pursuing) in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree (or currently pursuing) in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience through coursework, projects, internships, or employment building software, data, cloud, or AI-enabled solutions. Interest in working directly with customers and supporting solutions from early concept through deployment and ongoing improvement. Familiarity with AI or machine learning concepts, cloud platforms, data pipelines, application development, or deploying technical solutions. Demonstrated ability to collaborate with technical and non-technical stakeholders, learn in ambiguous environments, and communicate clearly.
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