Top Software Engineer Jobs

As a Missions Software Engineer, you'll collaborate with defense customers to integrate and operationalize vehicle intelligence products, tackling software engineering, hardware integration, and project execution challenges.

As a C++ Software Engineer, you will design high-performance backend systems for autonomy products, tackle complex engineering challenges, and collaborate with teams to deliver robust solutions for defense applications.

The Lead Software Engineer will design and implement backend systems in C++, tackle autonomy challenges, and ensure robust software solutions meet real-world operational demands.

As VP of Engineering and AI Innovations, lead software development for AI products, enhance features, and manage product evolution in a team-first culture.

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.

The Senior Solutions Architect for Microsoft AI will lead presales activities, develop AI solutions, and manage client engagements, ensuring integration across platforms.

Lead design and delivery of API and data engineering solutions: build end-to-end data pipelines, develop ontologies and schemas, ensure data quality and governance, integrate systems (including cloud/GCP), enable AI capabilities, enforce security/compliance, and mentor/lead technical teams within an Agile consulting environment.

Design, build, and scale production AI systems and cloud infrastructure. Architect multi-agent flows, implement RAG pipelines and semantic search, manage vector DBs and preprocessing, and deploy secure AI microservices in cloud. Collaborate with cross-functional teams and enforce security/privacy best practices for LLMs.

Lead a forward-deployed engineering team to integrate and deploy Applied Intuition vehicle intelligence products for defense customers. Own end-to-end technical execution across software engineering, OS configuration, system deployment, and hardware integration while collaborating with product and customer teams to ensure mission success.

Design, develop, and deliver production-grade agentic AI systems. Collaborate on AI architecture, integrate models, and optimize workflows. Lead workshops and define solutions with clients.

Design, build, scale, and maintain the companys e-commerce marketplace platform using AI-assisted workflows. Deliver production-quality full-stack features, validate AI-generated code, mentor engineers, improve systems, and partner with Product and Design to execute initiatives.

Build end-to-end merchant-facing features using AI-native workflows (Laravel backend, Vue 3 frontend). Prototype, validate with users, adopt AI tooling, ensure quality and testing for AI-generated code, and collaborate with product and design to ship fast.

Lead architecture and technical strategy for patient and provider platforms; mentor engineers; integrate AI-augmented engineering tools; enforce API, data modeling, and architectural best practices across React/React Native and backend services; optimize CI/CD, observability, and reliability metrics; drive technical spikes, POCs, and cross-team alignment.

Lead the AI team, develop AI solutions for semiconductor processes, enhance tool operations, and mentor engineers. Define strategies and architectures for AI integration.

The role involves leading the architecture, development, and scalability of fullstack systems for AI agents while mentoring engineers and making technical decisions.

The AI Engineer will develop user-facing features using TypeScript and React, collaborate on product ideas, and leverage AI coding tools in a high-velocity team environment.

Develop Python-based ML components for spatial data quality, design robust software, and collaborate in an Agile environment.

The Software Development Engineer II focuses on integrating AI technologies into geospatial software, developing tools for automation, and collaborating with teams for innovative features.

Work with clients and Customer Success to design, build, and maintain server-side components for an AI platform. Implement and optimize databases, RESTful APIs, security, distributed systems, and performance; troubleshoot bugs; document code and collaborate with front-end engineers.

Lead the development of AI-powered trading systems, focusing on building pipelines, enhancing research with AI, filtering signals, and managing infrastructure for data processing in a fast-paced trading environment.

The Lead Engineer will manage AI-enabled internal product development, focusing on full-stack system ownership, agentic coding, and collaboration with cross-functional teams.

As a Backend/AI Engineer, you'll integrate LLMs, optimize document processing pipelines, and improve API design for document understanding tasks.

The Senior Software Engineer will build foundational AI infrastructure, design platforms and tools for AI applications, ensure reliability, and collaborate with AI teams to support production cases.

The Software Engineer will design and develop scalable AI-driven solutions, focusing on Agentic AI systems and collaborating in an Agile environment.