Top AI & Machine Learning Jobs

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Apply AI and agentic patterns to improve engineering productivity, drive automation across PDLC/SDLC, partner with product and data science to deliver secure, reliable solutions, and evaluate emerging tools to create measurable business value.

Design and build scalable, production-grade agentic AI applications and platform capabilities. Improve engineering productivity via AI-assisted workflows, CI/CD, automation, and cloud-native services while ensuring reliability, security, and measurable business impact.

Build scalable, production-grade AI and agentic applications and platform capabilities. Apply Generative AI and agent patterns to improve engineering productivity across the SDLC, productionize AI solutions with reliability, security, and observability, and partner with product, data science, and engineering teams to deliver measurable business value.

Design and build production-grade AI and agentic applications and developer platforms. Improve engineering productivity via AI-enabled workflows, automation, CI/CD, and observability. Partner with product, data science, and engineering to deliver secure, reliable, scalable solutions.

Design and build scalable, production-grade AI and agentic applications and platform capabilities; apply generative AI and agentic patterns to improve engineering productivity across the product lifecycle; productionize AI solutions with strong reliability, security, observability, and cost controls; partner with product, data science, and engineering teams to deliver measurable business value.

Design and build production-grade, AI-enabled and agentic applications and platforms. Improve engineering productivity via AI-assisted workflows, CI/CD, automation, and developer tooling. Partner with product and data science to deploy scalable, secure, observable solutions and drive technical innovation.

Lead architecture and productionalization of AI-native, large-scale, data-oriented product concepts. Design scalable solutions, implement AI systems with observability and cost optimization, establish responsible AI practices, and coach engineering teams across the product development lifecycle.

Lead AI-native engineering teams to design, build, test, and deploy large-scale, data-oriented, customer-facing applications using Generative AI, LLMs, and agentic patterns. Define engineering vision and AI-native SDLC, partner with product, leverage data technologies (e.g., Databricks), mentor talent, and drive 0→1 prototypes to production with strong backend (Java/Python) and frontend (React/Next.js) engineering.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Apply AI patterns to improve engineering productivity across the product lifecycle, drive CI/CD and automation, partner with product and data science, evaluate emerging tools, and take AI-enabled solutions from prototype to secure, reliable production.

Design and build production-grade, AI-enabled and agentic applications and platform capabilities. Improve engineering productivity via AI-assisted workflows, CI/CD automation, and cloud-native services. Partner with product and data teams to take prototypes to reliable, secure, scalable production systems.