Top Software Engineer Jobs

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

The Software Engineer will develop and enhance infrastructure and user-facing functionalities in cloud-native simulation platforms, collaborate on technical projects, and support AI and backend system initiatives.

Design, build, and maintain end-to-end integrations between Commures platform and third-party healthcare systems (EHRs/EMRs). Implement scalable, reliable solutions using LLMs and modern cloud tooling, ensure HL7/FHIR and HIPAA compliance, troubleshoot production issues, mentor junior engineers, and drive integration platform architecture and monitoring.

Lead design and ownership of an AI-native web platform: web framework, design system, CMS, CI/CD, infrastructure, rendering and edge delivery. Define architecture and agentic SDLC, build evaluation guardrails, mentor engineers, and drive platform-wide technical alignment and migrations.

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.

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.

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

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 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.

The Data/AI Cloud Engineer will implement AWS data services, build ETL pipelines, optimize databases, and support data-driven solutions collaborating with technical teams.

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.

As a Senior/Lead AI Software Engineer, you will develop intelligent agents for supply chain tasks, drive architectural decisions, lead technical strategies, and collaborate across teams while mentoring engineers.

Lead a technical team in leveraging AI to modernize and streamline ERP systems. Focus on technical execution, strategic guidance, and mentorship as the primary technical architect.

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.