Top Software Engineer Jobs

Design and implement an AI Copilot for ArcGIS Pro, focusing on AI models and natural language processing tools while collaborating with cross-functional teams to deliver high-performance software.

The role involves supporting AI-driven data capture and digital archiving projects, customizing OCR systems, and engaging with customers to enhance efficiency.

Design, develop, and maintain scalable RESTful APIs for generative AI-powered Android applications, optimizing performance and collaborating with teams.

Design, develop, and productionize scalable AI tools for systems engineering in autonomous vehicles, integrating data for traceability, and building backend services.

The Software Engineer will design and develop software solutions for advanced Agentic AI capabilities, focusing on autonomy and multi-agent collaboration while managing the software development lifecycle in an Agile environment.

The role involves deep troubleshooting, root cause analysis, and architectural optimization in the Data and AI ecosystem to enhance platform reliability and supportability.

As a Staff Backend Software Engineer on the AI Platform team, you will build infrastructure for AI applications, improve distributed AI workloads, and collaborate with various teams to enhance developer and data scientist experiences.

The Principal Architect will lead the architectural vision for Netsmart's platforms, drive cloud technology adoption, promote AI/ML integration, and support teams with technical guidance and mentorship.

Design, implement, test, and support highly reliable real-time software for gateways, satellites, user terminals, and switches in a high-capacity satellite network. Lead architecture and code reviews, build prototypes, develop tooling for deployment, data analysis, and testing across virtualized, hardware-in-the-loop, and on-orbit environments, and maintain CI/release systems.

Design, build, deploy, and maintain internal and guest-facing systems across hotels and restaurants. Build integrations, automations, and websites; manage identity, deployments, networking, and monitoring; use AI-assisted tools to accelerate delivery. Produce documentation, simplify systems, and partner with leadership on long-term technology strategy.

The AI Special Projects Engineer will work cross-functionally to build features, automate workflows, and create demos for Lightning Labs, focusing on AI-driven solutions.

As a Senior Software Engineer at Vanta, you will design and build internal tools for go-to-market teams, focusing on applications that enhance sales and customer engagement, employing modern tech and AI workflows.

Define and document a repeatable inbound AI methodology for healthcare. Partner with 5–7 health systems to design decision trees, IVR logic, provider directory mapping, and escalation rules. Translate workflows into product requirements, influence the Front Door roadmap, and enable deployment teams with playbooks, templates, and training so deployments scale without continuous oversight.

As a Full Stack Software Engineer, you will develop AI-driven products, manage code pipelines, support team operations, and ensure system health, leveraging technologies like React and Node.js.

The Early Career Software Engineer will design, develop, and maintain software solutions with a focus on AI integration, collaborating with teams to create innovative features.

The Backend Engineer for AI will develop AI-powered features, solving complex problems, collaborating with teams, and delivering impactful products.

As a Forward Deployed Engineer, you will translate AI research into real-world applications, architecting solutions and deploying systems for enterprise customers.

Design reproducible coding environments and high-quality reference solutions to train AI. Create and validate complex programming challenges, debug and optimize codebases, refactor legacy systems, document technical decisions, and review technical submissions while collaborating remotely.

Build end-to-end Ambient AI products for healthcare, work across the software stack, and engage directly with customers to resolve issues.

The Senior Applied AI Engineer will build and enhance backend services using Python, working closely with data, infrastructure, and APIs to meet customer needs while ensuring system performance and reliability.

The role involves enabling enterprise-wide adoption of Microsoft AI and Automation tools, developing scalable platforms, and ensuring compliance with regulations. Responsibilities include platform strategy, architecture, agent development, and governance in a highly regulated financial environment.

Lead solutions architecture for government clients, embedding with stakeholders to deploy GenAI solutions, and ensuring project success through prototype development and technical guidance.

Design and build core systems for data processing and AI pipelines, ensuring reliability and scalability for enterprise clients while mentoring junior engineers.

As a Full Stack Engineer, you'll develop features for backend services and frontend interfaces, design architectures, and collaborate with clients. You'll own the complete lifecycle of features from ideation to deployment.

The Lead Product Engineer will design and deploy enterprise applications, drive Azure migrations, and collaborate with cross-functional teams in an AI-driven environment, mentoring junior engineers and implementing best practices.