Top Software Engineer Jobs

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.

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

Develop tools for AI workload profiling and debugging in GPU clusters, collaborating with various teams to enhance performance and efficiency.

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 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.

As a Software Engineer at Paces, you will build AI automation solutions to expedite power development, working closely with industry experts and taking ownership of projects to enhance scalability and features.

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.

The Advisor Lab Automation Software Engineer will design and implement software integrations for lab automation, focusing on AI-driven processes, while providing technical leadership and mentoring.

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.

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.

Lead design and implementation of Java/Spring middleware and microservices, optimize Oracle/SQL and MongoDB interactions, integrate AI tools into development and CI/CD, mentor engineers, drive architecture, testing, deployment, and production stability, and apply AI for code generation, monitoring, and risk analysis.

Design, build, test and support batch and streaming data pipelines and curated datasets on a lakehouse/AI data platform. Work across ingestion, transformation, modeling, optimization, data quality and reconciliation; improve platform tooling and standards; collaborate with stakeholders and lead delivery and technical design for workstreams.

Lead development and commercialization of Cloud Data solutions: design cloud data architectures, lead migrations and ETL/ELT, operationalize AI across clouds, support strategic sales pursuits, enable and train solution architects, secure partner co-investment, and provide steering‑committee oversight to mitigate delivery risk and drive practice growth.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Build end-to-end AI integrations in a cybersecurity platform: gather contextual security data, call and optimize AI services, map responses to actionable UI (React), implement error/fallback handling, monitoring, caching, and user feedback loops while working directly with customers.

The AI Tools Architect/Tech Lead role involves designing AI personas, maintaining AI configuration artifacts, and leading impactful engineering teams. The candidate will innovate with AI coding tools, evaluate code review agents, and drive organizational change through documentation and collaboration across teams.

Build end-to-end internal applications for Finance and Supply Chain: design React/TypeScript UIs, Python services/APIs, durable workflows, and enterprise integrations (Oracle Fusion, Zip). Own product lifecycle from discovery to rollout and production support, ensuring reliability, security, auditability, and reusable building blocks; apply AI where valuable.

Lead design, build, and operate platform-level IAM services across the stack. Define APIs, data models, and orchestration surfaces. Research and deliver Identity-for-AI capabilities and prototypes, collaborate with product and UX, mentor engineers, and support production lifecycle activities using modern AI tooling to accelerate development.

Lead full‑stack design, development, and maintenance of scalable financial applications across front-end, back-end, and databases. Build RESTful APIs and microservices, participate in code reviews, troubleshoot production issues, mentor junior developers, and adopt AI/LLM tools and cloud/container platforms to improve delivery and security.

Lead the design and delivery of AI solutions for legal professionals. Mentor engineers, establish AI engineering practices, and ensure scalable architecture and quality across systems.