Top Software Engineer Jobs

Develop full-stack, AI-first MDM features using Java and modern JavaScript (React/Angular). Build responsive UIs, design REST APIs, write unit/integration tests, debug front-end and backend systems, and apply AI tools to accelerate development and improve code quality. Participate in Agile ceremonies and collaborate across Product, UX, QA, and Platform teams.

Join Travelers as a Software Engineer I to perform end-to-end engineering tasks using AI-driven tools across the software lifecycle. Responsibilities include design, development, testing, debugging, monitoring, incident resolution, and documentation. The role emphasizes continuous application of AI tooling, prompt engineering fluency, steady delivery, domain understanding, and collaborative problem solving.

Design, implement, test, and maintain cloud-native software solutions. Troubleshoot complex defects, build APIs and integrations, enable AI/LLM capabilities, mentor junior engineers, contribute to CI/CD and observability, and collaborate with cross-functional teams to deliver reliable systems.

You will build agentic AI products across web, backend, and iOS, owning features end-to-end and mentoring junior teammates.

Design, develop, and maintain enterprise full‑stack applications; implement AI/ML pipelines and RAG systems; ensure DOE compliance and hardened security; collaborate with infrastructure and security teams; support CI/CD, containerization, and production incident response.

Administer, govern, and scale Microsoft Power Platform and AI automation across enterprise environments. Design and develop Power Apps, Power Automate flows, Copilot Studio agents, and integrations (Microsoft 365, Dataverse, APIs). Enable CoE adoption through training, governance, monitoring, ALM, and citizen-developer support while ensuring compliance, validation, and operational excellence in regulated settings.

Lead design, development, testing, and App Store submission of production-scale iOS features in Swift. Collaborate cross-functionally, enforce code quality via reviews and refactoring, maintain technical documentation, and adopt AI-assisted tooling to improve productivity across large, user-facing modules.

Develop and maintain AI-driven features, design scalable data structures and pipelines, and enhance platform capabilities while collaborating with teams.

As an AI-native Software Engineer, you will optimize developer experience and create tools for AI coding to enhance efficiency at Cartesia.

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

The Engineering Manager will lead a cross-continent team to enhance engineering productivity using AI tools, collaborate across departments, and deliver innovative product experiences.

Own product areas end-to-end: discover, prototype, ship, and iterate. Build secure, well-tested, observable full‑stack systems; partner with product, design, data, and clinical teams; use data and experimentation to validate impact; improve AI‑native development practices and engineering systems while balancing speed, safety, and reliability in a regulated healthcare context.

The AI Data Engineer will design and implement data pipelines, build AI-optimized data infrastructure, ensure data quality, and collaborate with teams to support AI applications.

Develop and maintain backend services for an MDM platform using Java, Spring Boot, and REST APIs. Build data ingestion, transformation, and integration pipelines, apply observability and testing best practices, optimize performance, and use AI-assisted tools to accelerate development. Collaborate in Agile teams across frontend, QA, product, and platform.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

Senior full‑stack engineer responsible for building production-quality Salesforce platform capabilities, integrations (MuleSoft, REST/SOAP), AI-enabled tooling (Claude plugins, MCP servers), CI/CD, and reusable libraries. Mentor engineers, run architecture/code reviews, and collaborate cross-functionally to deliver scalable, secure cloud-native solutions using Python, LWC, Apex, and AWS.

As a Principal Software Engineer, you will lead AI networking system transformations, manage complex customer engagements, and influence NVIDIA's networking technologies.

Lead a small team to accelerate software engineering productivity across a global organization by improving developer workflows, tooling, testing, code review, documentation, and AI-enabled development practices. Identify bottlenecks, drive scalable engineering systems and reusable patterns, and measure productivity gains across polyglot teams and legacy platforms.

Lead the technical architecture and implementation for LangSmith, collaborating with teams, mentoring juniors, and ensuring code quality.

The Full Stack Engineer will develop and implement features for the LangSmith platform, collaborate with teams, ensure high coding standards, and engage with enterprise customers.

The Senior Flutter Engineer will own the mobile platform, focusing on audio recording, offline capabilities, cross-platform stability, and CI/CD pipeline maintenance, while mentoring junior engineers.

The AI Product Engineer will build AI-driven software features, enhance performance, and develop intelligent UIs, working across product and infrastructure layers.

As a Staff Software Engineer, you will significantly enhance platform development and experimentation, focusing on AI integration and efficient software workflows. You'll manage end-to-end processes, develop core infrastructure, and employ AI coding agents to refine engineering practices, ultimately improving velocity and output quality.

Develop, test, debug, and maintain software systems while using AI-driven tools and prompt engineering as core engineering practices. Participate in incident resolution, impact analysis, monitoring/alerting, and continuous improvement; deepen AI tooling fluency and contribute to team knowledge sharing.

Lead design and implementation of an AI-native web platform, owning web framework, design system, CMS, CI/CD, infrastructure and SDLC agents. Define architecture, pioneer agentic workflows, set evaluation guardrails, mentor engineers, and drive cross-team technical alignment and migrations.