Top Software Engineer Jobs

Lead design and implementation of serverless Python backends on AWS (Lambda, API Gateway, DynamoDB, SQS, EventBridge). Architect event-sourced systems, ensure reliability, idempotency, security, IaC and CI/CD, mentor engineers, and integrate AI-assisted development tools while addressing their risks and opportunities.

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.

The Senior Software Engineer will build evaluation infrastructure for AI systems, ensuring reliability and accuracy. Responsibilities include designing datasets, benchmarks, and test harnesses for AI behavior assessment.

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.

The AI Product Engineer role at Rhythms involves building production AI software, managing features across multi-agent systems, and optimizing user experiences.

Design, build, test, deploy, and support internal AI-enabled web applications, APIs, dashboards, and workflow automations. Lead QA automation, integrate systems, establish engineering and deployment standards, and collaborate with stakeholders to improve operational efficiency and govern responsible AI use.

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.

Lead design and implementation of AI-assisted underwriting front-end UX, own cross-platform frontend and design system, establish frontend patterns and standards, mentor and recruit engineers, rapidly ship and iterate features, and collaborate with design, product, and backend teams to create explainable, auditable human-in-the-loop workflows.

The Engineering Manager will lead the team building the LangSmith observability platform, mentoring engineers, defining technical directions, and collaborating with product teams to develop reliable AI systems.

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.

Lead the architectural design of Coupang's real-time streaming and AI platform, ensuring high performance and availability while integrating AI/ML models.

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.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

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.

As a Senior Software Engineer, you'll build and operate the ML platform, optimizing data operations, managing the feature store, and supporting ML initiatives while driving architectural roadmap decisions.

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.

The role involves building and integrating full-stack features for an AI chat application, focusing on reliable workflows and real-time AI interactions.

The Senior Frontend Developer will build responsive web applications, integrate AI/ML capabilities, and lead teams while collaborating with various stakeholders.

The AI-Forward Engineer will implement AI tools for various teams, enhance tooling with AI, and develop practical solutions across functions, promoting collaboration and acceleration of workflows.