Top Software Engineer Jobs

This role involves developing AI-powered analytics interfaces and tools, collaborating with a skilled team to enhance customer data experiences.

Design and develop AI systems for personalized travel and concierge services, focusing on integration and optimization of various technologies.

Contribute to AI-driven healthcare solutions by designing and building AI-centric features, integrating LLMs, and ensuring system reliability. Collaborate effectively and take ownership of projects in a fast-paced environment.

Join an in-person, early-career cohort to create technical content, analyze AI-generated enterprise code, engage with customers, and drive GTM impact. Produce demos, walkthroughs, and outreach to generate demand; progress into Forward Deployed Engineer or AI Solutions Consultant tracks based on performance.

Lead and grow multiple engineering teams to build a video-agent platform and flagship end-user applications. Own API/SDK product surfaces, delivery, reliability, observability, and production readiness while partnering with Product, Design, and Modeling teams. Hire, coach, and set technical direction to ship high-quality, fast-iterating products.

Join as a Junior Software Engineer focusing on AI to build and enhance systems that improve workflows, interaction, and system performance.

Lead and manage the development of data engineering and machine learning systems, ensuring high-performance and reliability of data pipelines and ML models. Collaborate with stakeholders and mentor team members in a dynamic environment focused on driving financial wellness through advanced technologies.

As a Backend Engineer, design and operate core services for an AI platform, managing backend systems, APIs, and cloud infrastructure while collaborating with AI/ML engineers.

Lead AI-augmented full-stack development from concept to production: define architecture and design-system standards, integrate Figma with AI tools, oversee backend (Supabase, SQL/NoSQL) and auth (OAuth/JWT), manage Jira workflows, mentor engineers, and collaborate cross-functionally to deliver scalable, enterprise-grade applications.

Develop intelligent AI-driven services and features for a software platform, focusing on internal development acceleration and user experience enhancements.

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.

Build and improve scalable data ingestion and transformation pipelines for analytics and ML. Lead small-to-mid projects, write design docs and tech specs, improve pipeline testability, collaborate across teams, and operate distributed data systems using cloud and streaming technologies.

The Full-Stack AI Software Engineer develops complex solutions, performs integration, leads projects, and collaborates with business stakeholders. They are responsible for coding, testing, and supporting AI/ML applications using various programming languages and cloud technologies.

The AI Automation Engineer will develop scalable automation and integration solutions across various SaaS platforms, focusing on AI workflows, security, and data integrity.

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

The Director of Engineering will lead the Epiq AI Labs team, focusing on hands-on engineering and team management, and will ship production code while mentoring engineers and ensuring quality standards.

Lead the engineering strategy for ScienceLogic's Skylar AI platform, transforming processes to be AI-centric, and building high-performing teams.

Design, develop, and implement software applications integrating AI capabilities and enhancing user experience, while ensuring product quality and mentoring team members.

Design, build and operate Axon's internal AI platform, integrating AI solutions with enterprise systems and ensuring reliable service deployment, performance evaluation, and adherence to best practices.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

Develop and implement AI solutions for HR at Thermo Fisher Scientific, focusing on chatbot design, integration, and architecture within enterprise standards.

The Senior Performance Engineer will optimize performance for distributed LLM services using AI platforms, develop benchmarks, and enhance collaborations across teams.

The Senior Engineer designs and develops AI solutions, manages the full development lifecycle, integrates ML models, and ensures platform stability and performance.

The Senior Engineer designs AI-driven solutions, builds scalable systems, integrates ML models into production, and ensures environment stability while mentoring junior developers.

The Senior Engineer develops AI-driven solutions, builds scalable microservices, integrates ML models, and collaborates with teams to ensure system stability and performance.