Top Software Engineer Jobs

The AI-Forward Engineer will implement AI tools for various teams, enhance tooling with AI, and develop practical solutions across functions, promoting collaboration and acceleration of workflows.

The Staff Software Engineer will develop and maintain AI/ML systems, oversee cloud operations, engage with clients, and participate in R&D to enhance AI capabilities.

As a Software Engineer, you'll enhance AI Engine performance, optimize app features, and collaborate on GPU/CPU optimizations with hardware partners.

As an AI Solution Engineer, you will architect and demonstrate AI solutions, lead technical discussions, and assist customers with AI outcomes in pre-sales engagements.

The Staff Software Engineer will design and develop scalable cloud services, focusing on AI infrastructure, with hands-on system architecture, mentoring, and engineering culture shaping responsibilities.

Develop AI/ML-powered features in ClickHouse Cloud, focusing on frontend and API architecture, UI/UX, and integrations with AI systems.

Own and evolve ClickHouse's Python connector and SDKs; build and maintain integrations with orchestration and transformation tools; design AI/LLM integration patterns (RAG, embeddings, feature stores); engage with open-source community; collaborate with Product and Cloud teams to prioritize and ship production-grade data integrations.

Develop computer vision and machine learning solutions, research algorithms, work with product teams to collect datasets, and balance research with production code.

Design and implement high-performance C++ system software that interfaces with GPUs and hardware, integrate AI frameworks across platforms, contribute to build systems and toolchains, collaborate with cross-functional teams, and grow into architecture and leadership roles.

Embed with cross-functional teams to design, build, and maintain AI applications. Translate business requirements into production software, implement and integrate AI/LLM features, and collaborate closely with stakeholders on product outcomes.

Build and operate core AI agent infrastructure: orchestration, context management, filesystem and sandboxed execution, model routing and serving, databases, Kubernetes, networking, and cloud systems to make long-running agent workloads fast, reliable, safe, and cost-efficient.

Lead and manage an engineering team to design, build, and operate large-scale distributed systems using cloud and AI technologies. Provide technical oversight, set KPIs/OKRs, own delivery from strategy to execution, recruit and mentor engineers, collaborate cross-functionally, manage risk, and drive continuous improvement and scalable solutions.

Design, develop, test, and maintain mission-critical Windows desktop (WPF/MVVM), Android (Kotlin/Java), and distributed microservice applications. Work on agile teams, perform peer reviews, CI/CD, research and prototype R&D projects, and learn emerging technologies to support DoD and federal clients.

Maintain, configure, and enhance PeopleSoft Financials (GL, AP, AM, TR-CM); design reports and SQL queries; lead testing and QA; identify process improvements and integrate AI tools to accelerate development, testing, and documentation while collaborating with stakeholders.

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.

As a Senior Applied AI Engineer at Vanta, you'll design and implement AI-powered features, mentor engineers, and ensure AI systems improve customer experience, leveraging LLMs and full-stack development skills.

The Senior Software Engineer leads backend system development, mentors team members, and collaborates cross-functionally to deliver high-quality APIs and applications.

As a Software Engineer on Applied AI, you will build and operate scalable systems for data generation and model evaluation, collaborating closely with AI researchers and customers to deliver high-impact solutions.

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.

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.

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.

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.

Lead architecture and development of scalable Java-based WFM server-side solutions, champion AI-assisted development, drive engineering standards, mentor senior engineers, resolve production issues, and collaborate cross-functionally to deliver enterprise software.

As a Senior Product Engineer, you will own end-to-end feature development on customer-facing products, make product decisions, and work closely with a collaborative team.

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