Top Software Engineer Jobs

The AI Diagnostics & Observability Engineer will build diagnostic infrastructure for AI systems, implement performance metrics, create dashboards, and manage real-time interventions for clinical AI assistants.

Lead the technical direction for cloud-based products, focusing on software architecture, AI/ML solutions, and cloud platform engineering. Guide teams, influence decisions, and mentor engineers while designing scalable systems.

Lead the design of a distributed backend streaming engine with a focus on high availability and AI integration, ensuring low latency and high throughput.

The Software Simulation Engineer will design and develop scalable simulation frameworks, integrate AI/ML techniques, analyze results, and collaborate with teams to optimize infrastructure systems.

As a Software Engineer, you'll design AI applications, implement multi-agent architectures, build RAG pipelines, and ensure enterprise-grade reliability by optimizing performance and collaborating with teams.

Develop innovative AI solutions as part of an Agile team, coordinating with data scientists, managing software projects, and implementing best practices in AI technologies and cloud services.

The Technical Lead Manager will lead a small team of engineers, set technical direction, write production code, and manage team performance while addressing multiple concurrent workstreams in AI systems.

Hands-on founding engineer building a production Shopify app, storefront widget, video upload flow, and AI extraction pipeline. Ship, harden, and operate full-stack systems, ensure reliability and conversion-focused UX, and scale tooling for self-serve merchant onboarding.

The AI Deployment Engineer will provide technical expertise for ChatGPT and OpenAI API deployments, guide partners, and collaborate across teams to ensure successful integrations and partner experiences.

The Solutions Architect will partner with startups to develop and scale Generative AI applications, providing technical guidance and prototyping support, while synthesizing feedback for product improvement.

This role involves designing and building next-gen payments platforms using blockchain and AI technologies, focusing on payment modernization, security, and regulatory compliance.

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 Software Engineer will architect a modern cloud infrastructure, manage real-time data systems, and oversee production systems at a healthtech AI startup.

The Senior Engineering Manager, AI manages a cross-functional team to develop AI capabilities, oversees sprint planning, and ensures delivery of AI initiatives while balancing team growth and product strategy.

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

As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

Lead a team focused on AI Cloud Platform development, ensuring feature delivery, scalability, and team growth while collaborating across departments.

Lead applications systems analysis and programming activities for Capital Markets. Manage Java development team and collaborate with stakeholders to enhance applications for risk management and compliance.

The Staff Software Engineer will design and deliver production-grade LLM workflows, integrate LLM capabilities, and build scalable systems while mentoring team members and maintaining high code quality.

Design and implement full-stack applications for GenAI, build developer tooling, collaborate with product teams, and enhance AI agent delivery.

Design and implement full-stack applications and AI agents to enable rapid development and deployment of AI solutions in critical industries. Mentor engineers and take ownership of projects while applying secure SDLC practices and collaborating with cross-functional teams.

Design and implement full-stack applications and AI agents for the GenAI platform, ensuring rapid development and deployment across critical industries. Collaborate with teams to deliver secure and reliable cloud-native systems.

Lead and develop a high-performing engineering team for software solutions in AI and cloud technologies. Oversee delivery, security compliance, and operational excellence while mentoring talent and driving innovation.

The role involves building AI-native applications and agents in a customer-embedded setting, focusing on rapid prototyping, full-stack engineering, and aligning solutions with business outcomes. It requires strong technical and communication skills for engaging with stakeholders to identify AI use cases and deliver measurable ROI.

As Engineering Manager, you will manage a technical team, drive technical strategy, mentor developers, and ensure effective product delivery while aligning with organizational goals.