Top Software Engineer Jobs

Build reusable AI developer tools, RAG knowledge systems, and AI-assisted SDLC workflows. Integrate coding assistants and design-to-code tooling, define secure observable patterns, and own reliability, usage, and cost for internal AI platforms.

Lead solutions architecture for government clients, embedding with stakeholders to deploy GenAI solutions, and ensuring project success through prototype development and technical guidance.

The Enterprise Applied AI Engineer builds internal applications for enterprise operations, designs data architecture and workflows, and collaborates on systems integration.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

Lead engineering best practices and develop scalable AI-driven applications and data pipelines while mentoring other engineers. Analyze complex problems and deliver impactful AI products.

Design and build core systems for data processing and AI pipelines, ensuring reliability and scalability for enterprise clients while mentoring junior engineers.

As a Full Stack Engineer, you'll develop features for backend services and frontend interfaces, design architectures, and collaborate with clients. You'll own the complete lifecycle of features from ideation to deployment.

As a Senior Software Engineer, you'll build and operate the ML platform, optimizing data operations, managing the feature store, and supporting ML initiatives while driving architectural roadmap decisions.

The Lead Product Engineer will design and deploy enterprise applications, drive Azure migrations, and collaborate with cross-functional teams in an AI-driven environment, mentoring junior engineers and implementing best practices.

The role involves building and integrating full-stack features for an AI chat application, focusing on reliable workflows and real-time AI interactions.

The Senior Frontend Developer will build responsive web applications, integrate AI/ML capabilities, and lead teams while collaborating with various stakeholders.

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.

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.