Top Software Engineer Jobs

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.

Lead backend engineering for a cloud-native, data-intensive finance and P&L platform. Build and operate services (Java/Scala/Python) on Databricks and cloud, design secure scalable APIs, collaborate with finance and UI teams, and apply engineering best practices and AI/ML where valuable.

The Staff Software Engineer will lead the development of cloud-native AI platforms, optimizing AI workload deployment in Kubernetes environments and collaborating with cross-functional teams.

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

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.

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.

The Technical Lead will design, build, and modernize IVR and Voice Bot platforms, providing technical ownership and leadership in a hands-on role within the Contact Center Technology department.

The role involves collaborating on AI GPU deployment, optimizing performance, mentoring engineers, and improving user experience on NVIDIA RTX platforms.

The Technical Lead will oversee software architecture, mentoring teams and leading the design and implementation of AI-augmented enterprise software solutions.

The role involves leading large-scale projects, driving application development, providing architectural guidance, mentoring teams, and ensuring compliance with standards in AI and technology.

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.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

As a Staff Software Engineer, you will design, build, and operate the Agentic Data Plane (ADP) and cloud services across major cloud providers while leading system architecture and ensuring system reliability and scalability.

As a Software Engineer in Frontier AI Infrastructure, you'll design secure systems for the public sector, improve engineering standards, and collaborate with cross-functional teams to meet government requirements. You'll also participate in customer engagements and contribute to the product strategy while ensuring compliance with federal regulations.

Designs, develops, tests, and maintains complex multi-technology applications. Gathers requirements, leads change requests, performs design and code reviews, mentors teammates, coordinates on-call support, evaluates vendors, and proposes technical solutions and enhancements.

Senior engineer responsible for end-to-end application and system development, technical design and code reviews, requirements gathering, change request ownership, testing and deployment, on-call coordination, mentoring, and leading small-to-medium projects across multi-technology platforms.

In this role, you will build high-performance AI orchestration engines, scale context engineering infrastructure, productionize AI workflows, and optimize system performance with a focus on complex backend infrastructure for enterprise AI systems.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

Design, build, and maintain scalable enterprise full-stack applications using Java, Spring Boot, microservices, and modern front-end frameworks. Implement cloud-based solutions on AWS, contribute to CI/CD and DevOps automation, optimize performance and security, and integrate AI-driven capabilities using Python and orchestration tools like LangChain and LangGraph.

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

Three-month, full-time internship focused on building and supporting AI-powered applications, workflow automations, and client-facing tools. Work includes frontend/backend development basics, integrations with APIs, learning new tools, and collaborating with a mentor and team. Potential to convert to full-time based on employer demand.

The HPC & AI Performance Engineer will execute benchmarking projects, analyze performance, and optimize HPC systems using scientific software and methods.