Top Software Engineer Jobs

Design, build, and iterate on fullstack systems for AI agents. Collaborate with teams to enhance UX and contribute to internal best practices while engaging in research related to AI technologies.

Lead and grow the AI Transformation team by managing engineering projects and mentoring engineers, while focusing on developing scalable AI-centered solutions.

Looking for new graduate software engineers to work in areas like Data Platform, Onboard Systems, or Technical Infrastructure focusing on AI and autonomy technologies.

The Federal AI Solutions Engineer designs, builds, and operationalizes AI solutions on AWS and Azure, supports delivery teams, and ensures compliance with federal standards.

The Senior AI NodeJS Engineer develops AI Agentic solutions, collaborating with teams, managing tasks, ensuring quality code, and staying updated on AI technologies.

Design and build AI systems, applications, and workflows. Implement agentic AI solutions, integrate LLMs, and ensure stakeholder communication on AI capabilities and risks.

The Full Stack Developer will implement OpenAI and GPT-3 tools to develop processes for creating content and editing media for podcasts.

As a Full Stack Engineer at Blue Origin, you'll develop scalable applications using TypeScript, React, and Python, manage AWS cloud infrastructure, and integrate AI tools to enhance software development.

Build and maintain backend cloud services for connected devices, focusing on telemetry ingest, device state management, command/control, and integrations. Own features from design through production, use AI-native engineering practices, collaborate with firmware/mobile/platform teams, write and test reliable code, participate in on-call rotations, and contribute to incident response and documentation.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Lead the architecture and implementation of product features, manage a team, and collaborate with stakeholders while ensuring high engineering standards.

Develop, test, debug, and maintain software systems while using AI-driven tools and prompt engineering as core engineering practices. Participate in incident resolution, impact analysis, monitoring/alerting, and continuous improvement; deepen AI tooling fluency and contribute to team knowledge sharing.

Lead architecture and implementation of high-throughput, low-latency AdServer and Exchange services. Design scalable, resilient distributed systems, integrate demand/supply partners, improve RTB/auction capabilities, advance observability and automation (including AI-driven testing/IaC), and mentor engineers to increase platform reliability and revenue growth.

The Principal Software Engineer leads the architectural design of a data platform, ensuring isolated and compliant data flows, overseeing AI data lakes, batch and streaming pipelines, and developing service APIs.

Lead design and implementation of an AI-native web platform, owning web framework, design system, CMS, CI/CD, infrastructure and SDLC agents. Define architecture, pioneer agentic workflows, set evaluation guardrails, mentor engineers, and drive cross-team technical alignment and migrations.

Lead frontend engineering using Angular across the SDLC, drive architecture and delivery, embed AI-assisted development practices, ensure quality, performance, security, and mentor the team while collaborating with Product and QA.

The Software Engineer will maintain and evolve the data platform, run LLM ETL pipelines, transform agent outputs, improve system reliability, and support incident response.

Design, build, and operate the core AI platform, collaborating across teams to implement AI tools, ensure security, and enhance observability. Mentor junior engineers and contribute to the continuous improvement of product offerings using AI technologies.

The role involves architecting and building an internal AI copilot platform, applying AI technologies to streamline workflows and enhance decision-making across teams. Responsibilities include end-to-end ownership of internal systems, rapid prototyping, and collaboration to automate operations.

As an AI Software Engineer, you will design and implement software solutions for healthcare automation, primarily using Python and integrating AI/ML models.

As an AI Product Engineer, you will develop innovative LLM-powered solutions, enhance AI systems, and collaborate with cross-functional teams to improve customer experiences.

Collaborate with product leaders to build scalable AI product features, mentor teammates, and shape engineering culture in a fast-moving environment.

The Senior Backend Engineer will build and operate backend systems for AI agents, focusing on reliability, API design, and data modeling, while enhancing code quality and performance in a fast-paced environment.

As an AI/ML Platform Engineer, you will develop APIs, data pipelines, and workflows to support AI capabilities for scientific research, ensuring system reliability and scalability.

Lead the AI Products engineering team at Gem, overseeing AI-powered product initiatives, mentoring engineers, and collaborating with product teams to improve AI quality and customer impact.