Top Software Engineer Jobs

As a Senior AI Platform Engineer, you will design and build production software for AI Employees, manage technical delivery for client implementations, and ensure system reliability and performance.

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.

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.

As a Staff Backend Software Engineer, you will design and implement systems for high-scalability and low-latency inference using AI models, driving architectural decisions and mentoring teams.

Develop ML models for healthcare data, build data pipelines, establish best practices for AI/ML, and collaborate with engineering teams for integration.

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.

The Senior Software Engineer will design and implement on-premise CaaS and GPUaaS platforms, develop a cloud-integrated marketplace, and contribute to infrastructure monitoring and optimization.

As a Staff ML Engineer, you will architect and build Spara's AI engine, craft user experiences, collaborate with leadership, and innovate in AI application.

Seeking a Senior React Engineer to drive front-end initiatives, collaborating with multiple teams to build scalable applications while contributing high-quality code.

The Solutions Architect will serve as a technical advisor, guiding customers through the integration and deployment of AI technology, with a focus on developing scalable architectures and ensuring successful adoption of Claude systems.

The AI/ML SME will design and implement machine learning models for IT telemetry, collaborating with engineers and operators to enhance operational intelligence.

Ownership of end-to-end full-stack feature delivery: design, build, and deploy React frontends and Node/Express TypeScript services on AWS. Architect simple, scalable AWS-native systems (ECS Fargate, Lambda, RDS), model MySQL schemas, lead code review and testing practices, mentor engineers, and integrate AI-assisted development tools into the workflow while partnering with stakeholders to translate business needs into production solutions.

Lead design and implementation of Java/Spring-based middleware and microservices, optimize Oracle/SQL and MongoDB interactions, and drive CI/CD. Integrate AI tools for code generation, testing, and monitoring. Mentor engineers, perform code reviews, troubleshoot production issues, and contribute to technical roadmap, security, and risk assessments while collaborating with cross-functional teams.

Design, build, and operate cloud-native full‑stack applications and services (API to UI). Own features end-to-end, collaborate across product and architecture, and help define an AI-native SDLC using agentic AI to reshape development, testing, and deployment practices.

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.

Lead and develop a small full-stack engineering team building internal platforms. Coach senior engineers toward pragmatic architectures, balance technical debt and delivery, run planning and delivery, raise engineering standards (CI/CD, testing, observability, AI-assisted development), and partner with firm leadership to translate priorities and communicate risks.

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.

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.

Build and maintain C#/.NET Revit add-ins and Revit-integrated desktop apps that export model data to the Stratus platform. Solve Revit-specific challenges (version compatibility, threading, performance), integrate with backend services (Azure ServiceBus), manage installers/updates, triage customer bugs, write tests, and collaborate with product and customer teams. Use AI-assisted dev tooling as part of the development workflow.

Design, build, and maintain production Power Automate cloud flows integrating Microsoft 365 services and AI. Implement AI-assisted automations using LLMs and AI Builder, integrate external systems via APIs, handle error logging and retries, and document and hand off solutions to IT leadership while ensuring governance and security.

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.

As a Software Engineer, you'll enhance AI applications for enterprise customers, develop full-stack solutions, and collaborate closely on product quality and user experience.