Top Software Engineer Jobs

The Senior Innovation Engineer develops and implements Pega intelligent automation solutions, collaborating with architects and teams to enhance digital transformation projects.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Design, build, and maintain scalable full-stack systems for underwriting experience, modernizing customer correspondence and automating manual processes using AI. Collaborate cross-functionally, participate in design and code reviews, define product/architecture, and apply DevOps and cloud practices to deliver production-ready solutions.

The Senior Staff Engineer at GEICO will lead engineering teams to develop AI-powered solutions, ensuring high-quality systems and driving innovation in a fast-paced environment.

As a Founding Full-Stack Engineer, you'll build AI-native systems, integrating LLMs, prototyping quickly, and collaborating to influence engineering standards and culture.

Lead backend architecture and system design for an AI-driven manufacturing planning platform. Build and scale a Node.js/Python stack with Azure Databricks, implement optimization and scheduling algorithms, establish engineering patterns, and mentor/lead a small early-stage engineering team while collaborating with product and data functions.

The role involves building AI systems for customer support, creating automated insights, and operationalizing AI in workflows while collaborating with engineering and customer solutions teams.

Lead Software & AI Engineer responsible for designing, developing, and deploying software solutions integrating AI/ML. Requires extensive experience in cloud-native development and DevSecOps.

The Software Engineer AI will design, develop, and deploy AI-powered product features in a cloud-native environment, ensuring technical excellence and collaboration across teams to enhance the candidate experience.

Build and maintain end-to-end mobile trading systems for iOS and Android. Ship production-quality, well-tested code, apply blockchain and crypto knowledge, and integrate AI tools to improve engineering workflows. Break down projects, collaborate cross-functionally, conduct and act on code reviews, mentor teammates, and participate in hiring and onboarding. Influence product decisions through data-driven insights and provide domain expertise for mobile trading initiatives.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.

The Senior Software Engineer will ensure performance, resilience, and observability across a distributed architecture, focusing on AI-enabled automation for system reliability.

Own end-to-end engineering of in-vehicle voice assistant features, driving architecture, integration, validation (HIL/SIL), and release. Collaborate with product, design, systems, audio/acoustics, and external partners to define requirements, manage interfaces, triage defects, and deliver OTA feature improvements across vehicle programs.

Lead design of enterprise solution architectures, translate business requirements into technical blueprints, guide development teams on API/microservices, cloud/vendor integrations and security best practices, collaborate with enterprise architects and stakeholders, evaluate and optimize systems, mentor developers, and ensure compliance within healthcare domain projects.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Design, prototype, and ship AI-native, scalable production features and services for Microsofts sales ecosystem. Integrate data and systems into agentic workflows, improve reliability with telemetry, and deliver secure, compliant AI solutions through experimentation-driven engineering.

Design, develop, test, and maintain scalable web applications using .NET and Angular. Integrate AI/ML models and services (chatbots, recommendations, NLP), build and consume RESTful APIs, optimize performance and security, participate in code reviews, and ensure quality via testing and CI/CD practices.

Build and own full-stack features for core user journeys, shipping backend APIs, async workflows, and frontend experiences. Contribute to architecture, write well-tested maintainable code, partner with product and design, and proactively address technical debt and performance issues.

Architect and implement a cross-platform design product across client apps, cloud services, and device connectivity. Champion AI-native engineering practices, drive end-to-end architecture and ADRs, ensure security/reliability/observability, own delivery and release health, and mentor engineering leaders while partnering cross-functionally across product, design, firmware, and security.

Lead design and implementation of cloud-native, AI-native, event-driven platforms for fraud and risk. Define architecture, enforce standards, mentor engineers, design low-latency RESTful services, integrate AI/ML features, and ensure scalability, resilience, security, observability, and cost optimization across teams.

Direct AI coding agents to build and ship marketing sites, maintain brand voice and design discipline across five brands, own SEO and information architecture, run competitive research, and review/correct AI-generated code and copy to ensure production-quality outcomes.

Develop, test, deploy, and maintain .NET-centric web applications using C#, Angular 17+, and Azure. Build and consume REST APIs, work with SQL Server, source control, CI/CD pipelines, and collaborate on code reviews, debugging, performance optimization, and third-party integrations.

Lead design, build, and operate backend agentic systems that analyze large-scale time-series telemetry. Own product from customer discovery through shipping. Implement APIs, distributed job execution on Kubernetes, sandboxed code execution, context/memory management, evaluation suites, and observability while integrating frontier models and scaling agent workloads.

Build and operate backend systems for agentic AI that analyze large-scale time-series telemetry. Own product features from customer discovery through deployment: APIs, distributed job execution on Kubernetes, sandboxed code execution, context management, observability, model integration, and evaluation suites.