Top Software Engineer Jobs

Improve AI-generated PowerShell code, ensuring adherence to conventions and safety by reviewing scripts, correcting flaws, and summarizing work processes.

As an AI Tutor specializing in CMake, you will review and improve AI-generated code, ensuring adherence to CMake standards and practices.

As a Software Engineer, you'll enhance AI-generated Node.js code, ensuring performance and scalability, while correcting issues and summarizing your decisions.

As an AI Tutor, you'll assess AI-generated code quality, solve coding problems, and create summaries of problems and solutions, focusing on your programming expertise.

The Full-Stack Developer will design and deploy AI-focused tools for automation, collaborating with teams to optimize prompts and outputs, while mentoring juniors in a dynamic environment.

The Full-Stack AI Product Developer will manage projects from research to deployment, focusing on building AI-driven tools and enhancing user engagement within a healthcare context.

Lead a team of developers in AI/automation, focusing on full-stack development, data engineering, and strategic solution delivery. This role encompasses mentoring, overseeing project timelines, and ensuring technical best practices are followed.

The role involves designing and deploying high-performance enterprise AI frameworks, collaborating with teams in chip design, optimizing algorithms, and maintaining secure data management systems.

Develop tools for AI performance and efficiency, including profiling, debugging, and benchmarking for GPU clusters. Collaborate with various teams to optimize software and hardware solutions.

Conduct performance analysis on AI workloads for large GPUs and CPU clusters focusing on deep learning, networking, and optimization. Collaborate with teams to define performance expectations and test plans.

As a Staff Engineer, lead engineering teams, drive solutions for enterprise-class applications, mentor junior staff, and ensure high-quality product delivery.

Develop and implement AI technologies in tax software, build APIs, and create UI for an embedded tax platform while collaborating with teams.

The AI Applications Engineer will lead technical support initiatives, develop demos and benchmarks, and provide customer training using Quadric's SDK. This role requires expertise in system architecture and optimization strategies, along with strong coding skills and the ability to troubleshoot complex issues.

This role involves designing AI infrastructure, optimizing data pipelines, and collaborating with AI research teams, focusing on machine learning challenges.

Lead the development of AI/ML systems for document processing, mentor engineering teams, and implement advanced machine learning solutions focused on language models and data extraction.

As an Applied AI Engineer, you will develop AI workflows, conduct data analysis, and build systems for legal applications while collaborating with the legal team.

As an AI Engineer, you'll lead backend implementation, build AI-powered products, and ensure high-quality systems, contributing to Elicit’s tech stack and user experience.

Lead a team responsible for AI document generation solutions, overseeing the software lifecycle and collaborating cross-functionally to innovate and maintain quality.

As a Senior Software Engineer, you'll design and scale voice AI systems, own feature development, and make important product decisions at FleetWorks.

As a Software Engineer, you will develop generative AI services using Python, implement user-friendly interfaces, and collaborate with cross-functional teams to enhance the platform.

Develop and ship full-stack AI projects using Ruby on Rails and ReactJS, improve AI infrastructure, and optimize performance for large-scale applications.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

Develop robust AI-driven applications, focusing on production-level code and collaborating with cross-functional teams to integrate AI features into products.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

The AI Product Engineer will design, build, and ship AI features for clean energy finance while collaborating with various stakeholders to improve transaction processes.