Top Software Engineer Jobs

Build and maintain cloud- and browser-based AI and automation applications (internal and customer-facing). Integrate with third-party APIs (QuickBooks, Microsoft Graph, CRM, Zoom), implement AI workflows (OpenAI), automate business processes (Zoho, PowerAutomate), and ensure security and maintainability while working closely with leadership and IT.

Lead the engineering team for Orchestrator, an AI-powered healthcare referral coordination product. Own end-to-end delivery, architecture, EHR integration strategy, scalability, customer partnerships, hiring, and team development. Remain hands-on through design reviews, code reviews, and production incidents while building generalized solutions across healthcare customers. Required expertise includes EHR integrations, HL7 v2, FHIR, full-stack production engineering, and at least one year of engineering management experience.

Lead frontend development for Sift Agents, building high-performance, agentic AI user experiences. Own product area from customer discovery through shipping, design interaction patterns for streaming and long-running agent tasks, render agent findings alongside large telemetry datasets, optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component library, and collaborate with backend engineers on API design.

Build and own frontend surfaces for agentic AI features: design streaming and long-running agent interactions, render agent findings alongside large telemetry datasets, optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component library, and collaborate with backend and product teams while engaging customers to shape the product.

Own and build the frontend for agentic AI features: design agentic UX, streaming responses, long-running tasks, and render agent findings alongside large telemetry datasets. Optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component libraries, collaborate on APIs, and work directly with customers to translate workflows into product features.

Build and own frontend surfaces for agentic AI used by hardware engineers: design streaming/long-running interactions, render agent outputs alongside large telemetry, optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component library, and collaborate with customers and backend engineers from MVP through iteration.

Lead and manage SAP ERP and procurement systems while developing AI-powered analytics, agents, and modern dashboards. Ensure integrations, data integrity, and adoption of global ERP initiatives. Build Python-based applications, implement RAG solutions, develop SQL data pipelines and REST APIs, and partner with stakeholders to deliver scalable automation and reporting.

Design, build, and optimize Azure cloud-native applications using .NET/C#. Implement serverless, distributed architectures, data pipelines, and CI/CD. Leverage AI-assisted development tools, apply TDD and automated testing, mentor engineers, participate in architecture and DevOps, and ensure performance, security, and compliance.

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

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.

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

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