Top Software Engineer Jobs

Develop the model serving platform for multimodal AI models, optimizing performance, collaborating with researchers, and ensuring reliable production infrastructure.

The Senior Machine Learning Engineer will develop and maintain algorithms/services for multi-agent AI, deliver cloud-native architecture, and optimize ML models for performance.

The Staff Salesforce Technical Architect will design scalable Salesforce solutions, lead integrations, establish best practices, optimize performance, and collaborate with stakeholders for the Go-To-Market teams.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Senior Software Engineer, you will build and architect the AI infrastructure, focusing on agent orchestration and collaborating with cross-functional teams to enhance product features for a large user base.

Lead client engagements and own end-to-end solutions, prototyping while ensuring reliability and scalability. Mentor engineers and help define technical roadmap.

Lead the full development lifecycle, building scalable APIs and systems, mentoring engineers, and delivering impactful AI-driven software solutions.

The role involves developing full-stack features swiftly, utilizing AI tools for coding, managing front and backend systems, and ensuring production quality through testing and CI.

The Engineering Manager will lead a team in Applied AI, focusing on building scalable systems, driving evaluations to improve model performance, and managing engineering talent.

Design, develop, and maintain full-stack applications; lead technical discussions, mentor junior members, and improve products and technologies.

The role involves delivering solutions to technical problems, optimizing APIs, transforming requirements into tasks, mentoring, and participating in hiring.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

Drive the architecture, design, implementation, and evaluation of AI systems and data platforms while mentoring teams and contributing to technical strategies.

The Engineering Manager drives architecture and design for AI systems, mentors teams, and plans technical roadmaps for the Map AI Platform.

Design and maintain backend services, develop microservices, implement asynchronous processing, and collaborate on system scalability for AI-assisted applications.

The Senior Full Stack Engineer is responsible for developing backend services with Node.js and mobile applications using React and Capacitor, emphasizing code quality and architectural principles in a collaborative environment.

Design and implement systems software for high-performance GPU clusters. Debug complex distributed systems and own the systems lifecycle from design to production.

The Principal Software Engineer will design, implement, and lead AI security product development, focusing on scalable software solutions across cloud platforms and driving engineering best practices.

Develop and maintain AI systems, collaborate with teams, debug production issues, and mentor engineers to ensure high-quality AI features.

Lead and manage a team responsible for AI developer workflows and cloud agent platforms, ensuring reliability and guiding technical strategy. Collaborate with cross-functional teams to enhance engineering productivity through AI tools and workflows.

As a Lead Software Engineer, you will drive technical initiatives to develop the AskGartner AI platform, manage architecture decisions, mentor engineers, and collaborate across teams to deliver scalable solutions.

Design and implement AI-powered automation systems, build scalable backend services, make architectural decisions, and collaborate with product and data teams.

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

You'll build high-performance frontend experiences and work across the full stack on a core part of our Physical AI product, taking end-to-end ownership of projects.