Top Software Engineer Jobs

The role involves developing full-stack features swiftly, utilizing AI tools for coding, managing front and backend systems, and ensuring production quality through testing and CI.

Design and build an end-to-end wireframe generation and vibecoding workflow that turns design intent into interactive, deployable UI components. Curate the enterprise design system into machine-consumable artifacts, establish Storybook as the canonical review surface, define human-in-the-loop UX review, and partner with client UX and delivery teams to integrate components into the MFE shell and downstream SAFe decomposition.

As a Backend Engineer, you will design and build backend systems and APIs for LangChain's observability and evals platform, optimizing performance and reliability while collaborating with cross-functional teams.

The Engineering Manager will lead a team in Applied AI, focusing on building scalable systems, driving evaluations to improve model performance, and managing engineering talent.

Drive the architecture, design, implementation, and evaluation of AI systems and data platforms while mentoring teams and contributing to technical strategies.

The Engineering Manager drives architecture and design for AI systems, mentors teams, and plans technical roadmaps for the Map AI Platform.

The AI Applications Engineer will lead technical support initiatives, develop demos and benchmarks, and provide customer training using Quadric's SDK. This role requires expertise in system architecture and optimization strategies, along with strong coding skills and the ability to troubleshoot complex issues.

The Senior Backend Developer will architect and build scalable backend systems, integrate AI technologies, and collaborate with frontend teams to enhance user experience.

As a Junior Backend Developer, you'll translate UI/UX designs into code, integrate with APIs, and utilize AI tools for efficiency.

Design, build, and optimize Azure-based, cloud-native .NET applications and services. Implement serverless, event-driven architectures, CI/CD, TDD, and AI-augmented development. Mentor engineers, participate in architecture and code reviews, and collaborate across Product, QA, and DevOps to deliver secure, scalable healthcare solutions.

Design and implement systems software for high-performance GPU clusters. Debug complex distributed systems and own the systems lifecycle from design to production.

Lead design, development, integration, and testing of AI/ML-enabled, cloud-native C-UAS software. Architect distributed, real-time systems and AI/ML pipelines, mentor teams, ensure secure, maintainable code, and support test, evaluation, and lifecycle activities for mission-critical defense solutions.

Lead design, development, integration, testing, and maintenance of C-UAS software and TAK-integrated capabilities. Architect AI/ML pipelines, real-time and distributed systems, and mentor engineering teams while ensuring security, reliability, and performance throughout the software lifecycle.

Develop a unified AI platform by designing and building scalable applications, improving platform performance, and collaborating with ML engineers.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

Lead client engagements and own end-to-end solutions, prototyping while ensuring reliability and scalability. Mentor engineers and help define technical roadmap.

Lead the full development lifecycle, building scalable APIs and systems, mentoring engineers, and delivering impactful AI-driven software solutions.

Develop the model serving platform for multimodal AI models, optimizing performance, collaborating with researchers, and ensuring reliable production infrastructure.

Design, build and ship native Android features using Kotlin and Jetpack Compose. Integrate REST APIs, improve performance and reliability, debug production issues, and create AI-assisted on-device experiences (TensorFlow Lite). Collaborate with product and design to simplify complex financial user journeys.

Design, build and ship native Android features for an AI-enabled neobank using Kotlin. Improve UX, performance, reliability and integrate backend APIs. Collaborate with product and design to simplify user journeys and use analytics and production data to iterate on mobile experiences.

Lead architecture and build scalable, secure production services while championing AI-native development. Mentor engineers, influence technical direction, review PRs, and help evolve a legacy monolith to a modern stack in partnership with product and exec leadership.

The Senior Machine Learning Engineer will develop and maintain algorithms/services for multi-agent AI, deliver cloud-native architecture, and optimize ML models for performance.

Lead the engineering team at Equi, building full-stack applications and AI-driven systems to support investment workflows. Drive technical decisions and enhance software solutions across departments while eventually leading an engineering team.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.