Top Software Engineer Jobs

The Chief Engineer will set the technical vision for AI and machine learning programs, manage execution, and lead multi-disciplinary teams to deliver innovative solutions.

Lead software development for AI, ML, and decision systems, manage technical teams, and drive innovation for National Security solutions.

As a Distinguished Engineer, you'll lead technical initiatives in cloud banking, mentor teams, and develop advanced technology solutions while promoting engineering excellence.

Lead a team developing advanced applications using AI, ML, and Generative AI, overseeing projects and ensuring high-quality solutions that meet business goals.

As Engineering Manager, lead AI/ML infrastructure development, guide team through technical challenges, ensure safety in AI applications, and mentor engineers in a dynamic environment.

The Engineering Manager will lead the AI/ML Platform team, enhance AI infrastructure, ensure safety and efficiency, and mentor engineers in a dynamic environment.

As a Lakehouse Core Engineer, you'll enhance data systems, optimize storage and compute, develop ACID transactions, and improve query performance, focusing on petabyte-scale efficiency.

As an AI Staff Engineer at BlackLine, you'll develop and refine AI features, collaborate on integrating solutions, and enhance AI capabilities for financial applications, requiring extensive experience with LLMs and production systems.

Lead the technical strategy for developer tools in a financial services company, focusing on AI-enabled development practices. Responsibilities include architectural design, mentorship, and driving innovation in software development.

The role involves designing scalable AI/ML infrastructure, optimizing model training processes, and collaborating with teams to enhance platform capabilities.

Develop innovative software solutions, mentor junior team members, and analyze project requirements in a collaborative environment focused on digital transformation.

As an Engineering Intern, you'll work on technology projects, learn about AI and automation in finance, collaborate with teams, and participate in community events.

The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.

As a Senior Software Engineer, you will build AI-driven agent systems for media planning and execution, collaborating closely with data scientists and product teams.

Lead design, development, testing, and deployment of Generative AI applications. Act as hands-on engineer and technical lead, resolve complex issues, mentor staff, and collaborate on scalable, secure solutions.

Design, develop, test, and deploy generative AI applications within an engineering pod. Lead moderately complex initiatives, resolve technical challenges, mentor engineers, and ensure scalable, secure solutions.

Design and develop AI/ML solutions, focusing on scalable software and user experience, while collaborating across teams to integrate generative AI technologies.

Manage a team of engineers developing AI-driven features, ensure adherence to best practices, and foster a culture of innovation and learning.

As a Software Engineer, you'll build AI-driven product experiences for scientists, optimize user onboarding, and analyze data to drive growth and retention.

Lead AI adoption by designing and building prototypes and production-grade AI solutions using LLMs and agent frameworks. Collaborate cross-functionally, write production-quality Python and Go code, ensure security/privacy/compliance, measure ROI, and mentor others to scale AI automation across the company.

Develop AI-powered features for patient care, design workflow agents, and collaborate on production AI systems to improve healthcare outcomes.

Develop and ship AI-powered healthcare solutions, integrating ML systems and collaborating with cross-functional teams to enhance patient care and operational workflows.

The Lead AI Developer will design and implement advanced AI capabilities within a Microsoft-based platform, ensuring safety and scalability while providing technical leadership and mentorship.

Design, build, and operate GPU-based GenAI platforms; optimize LLM serving infrastructure; lead generative AI initiatives and resolve technical challenges.

The software engineer will build and operate infrastructure for AI agents, ensuring reliability, scalability, and security. Responsibilities include managing LLM services, developing storage systems, and enhancing observability while collaborating cross-functionally.