Top Software Engineer Jobs

As a Voice AI Agent Software Engineer, you will build and improve AI voice agents for customer support, focusing on voice recognition and interaction systems. You'll collaborate on software development and enhance AI capabilities while working with cross-functional teams.

As a Software Engineer on the AI Products Team, you'll develop features integrating LLMs, improve AI infrastructure, enhance model performance, and engage with customers to shape user-friendly solutions.

As a Software Engineer on the AI Products Team, you will build features, improve LLM models, develop infrastructure, engage with customers, and shape team culture.

The Sr Manager, AI Solutions will lead a team to develop AI products, manage product roadmaps, and engage with stakeholders to meet business objectives.

Design and build scalable services and APIs for intelligent finance systems using Python and GCP, collaborating with AI engineers for product enhancement.

The Senior Frontend Engineer will build user-facing layers for intelligent financial systems, using Vite, React, and Tailwind while ensuring high usability and performance.

Lead the AI technical strategy and architecture at Airwallex, focusing on automating complex workflows and building scalable AI systems through reusable patterns and platforms.

The Senior AI Platform Engineer manages Cargill's AI-assistant platform, ensures its performance and compliance, and conducts upgrades and optimization.

Develop and maintain a Computer Vision AI platform, enhancing model performance, building tools, and optimally managing compute resources. Collaborate with teams for AI product development, ensuring efficiency and compliance.

Lead and develop Agentic AI solutions, mentor team members, collaborate on AI applications, and tackle complex challenges in cybersecurity.

The role involves designing, developing, and deploying production-ready AI agents, prototyping and iterating solutions, and working across teams to enhance workflows with AI integrations.

The Principal Software Engineer will create scalable coding frameworks, develop production code, advise on AIML technologies, and lead technical efforts in cloud application development.

Lead the design and deployment of AI-driven workflows, managing development teams and overseeing project execution to enhance voice communication in retail environments.

Lead the design and delivery of high-impact applications, mentor engineers, and drive technical initiatives while collaborating with cross-functional teams.

Lead the development of AI products at FloQast, architecting scalable systems and ensuring integration with multiple technologies, while providing mentorship to the AI team.

As a Simulation & AI/ML Analyst, you will perform modeling of ISR systems, integrate AI/ML techniques, conduct data analysis, and present findings to stakeholders.

The AI Research Infrastructure Engineer will design, build, and implement AI systems and automated data pipelines for research, focusing on workflow automation and integration with tech stacks.

Lead a team of engineers to develop ML infrastructure for autonomous vehicles, ensuring high-quality standards and fostering team growth.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

The Staff Software Engineer will design and maintain ML inference runtimes, lead architectural initiatives, and collaborate with teams to optimize system performance and scalability.

Assist in developing, testing, and maintaining software applications, collaborate with teams on features, troubleshoot bugs, and document processes.

The Full Stack Technology Lead will design solutions for the onboarding platform, collaborating with teams to develop web applications using cutting-edge technologies and overseeing project execution.

The Chief Architect at CME Group leads architectural vision, manages teams, develops tech roadmaps, and ensures alignment between business strategies and technology decisions.

Contribute to AI integration in developer workflows by implementing agents and servers; improve AI-generated changes and collaborate on experiments.

Collaborate to design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems, requiring a strong ML engineering foundation.