Top Software Engineer Jobs

Design and implement high-performance graphics systems and pipelines for 3D generative AI products. Optimize rendering kernels and geometry processing on GPUs, integrate production-quality pipelines with data and model infrastructure, ensure scalability across GPU clusters and cloud, and collaborate with artists, ML researchers, and product teams. Contribute tooling, documentation, demos, and open-source work to advance Meshy's graphics capabilities.

Design and implement end-to-end AI/ML software solutions to modernize client systems. Build developer-focused tools and prototypes, apply best practices for software workflows, and collaborate to refine experimental tooling while considering ecosystem and future enhancements.

Design and build backend services, APIs and workflows for an AI Neobank. Support insurance, payments, wallet, savings, investing and partner integrations. Create reliable systems for user accounts, transactions, reconciliation, notifications and operations. Improve system reliability, observability, security and performance while ensuring solutions are auditable and suitable for regulated financial products. Collaborate with product, mobile, operations and business teams.

Build end-to-end customer-facing and internal features for an AI neobank: web flows, backend APIs, admin tools, dashboards, integrations, and production reliability across fintech products.

Build and maintain cloud- and browser-based AI and automation applications (internal and customer-facing). Integrate with third-party APIs (QuickBooks, Microsoft Graph, CRM, Zoom), implement AI workflows (OpenAI), automate business processes (Zoho, PowerAutomate), and ensure security and maintainability while working closely with leadership and IT.

The AI Implementation Specialist will leverage AI tools in construction, shadow project teams to understand workflows, and synthesize insights to improve technology integration on jobsites.

The AI Implementation Specialist will integrate AI tools within construction teams, enabling them to work smarter and capturing expert knowledge to inform technology development. Responsibilities include shadowing project teams, evaluating contech tools, and conducting training sessions on AI workflows for field personnel.

The AI Implementation Specialist will work onsite to connect AI tools with field teams, capture field intelligence, and enhance construction workflows through technology. This includes training, evaluating tech, and providing insights to improve operational effectiveness.

This role involves providing training on Generative AI, offering guidance for OPT STEM extension, and supporting trainees with questions and materials.

The Software Engineer, AI will develop intelligent systems for financial workflows, utilizing LLMs and other technologies to enhance bookkeeping and data processing for agriculture businesses.

Responsible for architecting AIOS solutions, leading proof-of-concepts, collaborating with engineering teams, defining roadmaps, and delivering project requirements.

Join Klarity as an AI Frontend Engineer to build production UI components, collaborating with senior engineers and designers, while learning about AI-powered workflows and modern frontend development.

The Staff AI Frontend Engineer will architect scalable front-end systems, own user-facing features, bridge AI capabilities with user experiences, and use AI tools to prototype design concepts.

The Senior AI Frontend Engineer will design and implement user interfaces using modern web technologies, ensuring intuitive and elegant user experiences while owning features end-to-end, collaborating across teams to bridge AI capabilities with frontend design.

You will build and maintain AI-native application features, working with a team of AI and backend engineers to ensure quality and innovation.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

Design and build AI-driven agents and large-scale backend systems to improve efficiency in revenue organizations, ensuring reliability and scalability during high-volume processing.

Design and build scalable, event-driven backend systems for AI agents, ensuring reliable agent logic, orchestration, and fault tolerance across workflows.

The Lead Software Engineer will mentor a frontend team while actively contributing to development, focusing on quality and collaboration with product and design partners.

Build and maintain secure RESTful and event-driven APIs and MCP server implementations to allow AI agents to interact with enterprise platforms (ServiceNow, Okta, ERP). Implement authentication (OAuth2/OIDC), API gateway policies, audit logging, and monitoring. Collaborate with AI and governance teams, document integrations, and ensure secure, reliable, auditable agentic workflows.

The Principal Software Engineer will lead the architecture and development of Redpanda's Agentic Data Plane, focusing on integrating AI agents with enterprise data, improving system observability, and engaging with strategic customers.

The role involves researching AI system architecture, developing performance models, analyzing AI workloads, and guiding design decisions while collaborating across teams.

The role involves researching AI system architecture, developing performance models, making design decisions, and leading architecture strategies. It requires collaboration across teams to evaluate AI workloads and scalability issues.

Lead applications systems analysis and programming activities, integrating functions, resolving complex problems, providing expertise in applications programming, and mentoring mid-level developers.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.