Top Software Engineer Jobs

Lead frontend development for an AI-driven finance automation platform: build a scalable React+TypeScript design system and interactive UIs (workflow builders, action libraries, observability dashboards, data type management), integrate REST APIs, collaborate with product/design/backend, and own features end-to-end while providing backend support when needed.

Build and maintain production AI-driven systems including call-scoring pipelines, multi-tenant Next.js/Supabase dashboards, a Velocify-replacement lead platform, AI voice agent integrations, Salesforce administration, and internal automation workflows. Ensure CI/CD, testing, security, and reliable real-time integrations for client-facing and internal compliance products.

As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

As a Forward Deployed Software Engineer, you will solve technical challenges for large customers, develop integrations, and drive product engineering roadmaps at Ramp.

Lead technical and scientific delivery of consumer weather verticals: translate model output into data pipelines, APIs, and product integrations; integrate LLM-driven content generation; collaborate with research scientists, product, design, and front-end teams to graduate experiments to flagship products.

Design and develop a C++-based system for simplifying and accelerating computing in DL and HPC, alongside evaluating performance and improving library quality.

Seeking a Staff Software Engineer to develop tools for LLM and Agentic applications, ensuring high-quality products and optimal developer experience while collaborating across teams.

As a Senior Software Engineer for AI products, you will own features across the stack, develop the AI SRE product, create integrations, and collaborate on user experience while ensuring technical quality.

Early-career software engineer in a fixed-term accelerator contributing to backend/full-stack feature development, testing, CI/CD, and deployments. Collaborate on API and system design, integrate and deploy AI/LLM capabilities (LLM APIs, RAG, embeddings, agents), build datasets/benchmarks, monitor performance, debug issues, and produce technical documentation.

Design and implement high-performance backend C++ systems for defense autonomy products. Build scalable, reliable infrastructure for contested environments, collaborate with researchers and customers, own end-to-end delivery, and shape site engineering culture and standards in Ann Arbor.

Design and implement high-performance C++ backend systems for defense autonomy products. Build scalable, reliable infrastructure for contested environments, collaborate with researchers and customers, own architecture through deployment, and support Ann Arbor site growth while interfacing with DoD programs.

Lead a team of engineers to design and develop AI-powered migration products, ensuring quality delivery while fostering innovation and supporting team growth.

Build and optimize high-traffic, responsive web applications and hybrid in-app pages. Implement user-facing features, improve performance and scalability, and create libraries/frameworks to accelerate development and enhance code quality.

Design and implement high-performance C++ software for Axion, build and extend real-time simulation environments, develop scalable infrastructure for multi-domain autonomous operations, partner with researchers and defense customers to translate mission requirements, and own end-to-end engineering execution from architecture through deployment.

Build and productionize scalable backend services, APIs, and AI workflows to connect requirements, modeling, validation, and test data for autonomous vehicle programs. Implement traceability, versioning, dashboards, and KPIs, refactor prototypes into certifiable systems, and collaborate with systems engineering, safety, and autonomy teams to support compliance and validation at scale.

The Full Stack AI Developer will design and scale AI-driven platforms, develop CI/CD pipelines, manage deployments, and collaborate with teams.

This role involves designing and building next-gen payments platforms using blockchain and AI technologies, focusing on payment modernization, security, and regulatory compliance.

As a Senior Forward Deployed Engineer, you will embed within customer environments to develop and deploy AI solutions, enhance performance through evaluations, and become a domain expert in specific verticals.

As a Senior Software Engineer, you will enhance AI application interfaces for enterprise clients, ensuring high product quality and a seamless user experience through direct customer collaboration and rapid iteration.

PowerPay seeks a Software Engineer to manage development tasks from requirements to deployment, focusing on backend services and AWS infrastructure. Responsibilities include writing Python and SQL, utilizing AI tools, maintaining data pipelines, and ensuring communication with stakeholders.

Lead integration strategy and execution for Zoox's agentic platform. Collaborate with teams on tool integration, debug failures, and ensure resource readiness for production. Define integration artifacts and contribute to release processes.

As a Founding AI/Data Engineer, you'll design and build AI-driven products, collaborate across teams, and ensure system reliability while enhancing user experiences.

Lead and grow a team building DPU-enabled, high-performance AI cloud infrastructure. Drive architecture, prototypes, production readiness, observability, security, lifecycle management, and cross-team delivery while hiring and mentoring engineers and ensuring operational reliability.

Lead development, refactor, test, deploy, and maintain production software; collaborate with product teams in agile processes; integrate AI-assisted tools and ensure security, resilience, performance, and monitoring; create test suites; mentor and guide junior engineers.

Develop, test, deploy, and maintain production software within an agile team. Participate in product configuration, security, resilience, performance tuning, and monitoring. Learn and adopt AI-assisted development tools and collaborate cross-functionally to meet shared objectives.