Top Software Engineer Jobs

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

The Senior Staff Engineer at GEICO will lead engineering teams to develop AI-powered solutions, ensuring high-quality systems and driving innovation in a fast-paced environment.

The Forward Deployed Engineer will embed within customer teams to solve complex business problems, drive AI adoption, and provide feedback to the Product team.

Lead Software & AI Engineer responsible for designing, developing, and deploying software solutions integrating AI/ML. Requires extensive experience in cloud-native development and DevSecOps.

Own and architect the frontend foundation for Handshake AI Enterprise: establish component system, design tokens, engineering patterns, shared libraries, and ship production-grade UIs while collaborating with AI and platform teams to ensure scalable, maintainable, high-performance enterprise deployments.

The Software Engineer AI will design, develop, and deploy AI-powered product features in a cloud-native environment, ensuring technical excellence and collaboration across teams to enhance the candidate experience.

Build and ship scalable, performant AI-powered Copilot web experiences for millions of users. Design reusable frontend systems, deploy frontend infrastructure, and collaborate with AI researchers, product managers, and designers. The role emphasizes user-centric product development, safety, reliability, rapid iteration, and high-quality execution in a collaborative environment.

Customer-facing cloud solution architect for Azure data platforms and AI readiness. Lead architecture design, proofs-of-concept, and production deployments focused on performance, resiliency, security, and measurable business value using Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview.

Design, implement, and operate large-scale Ads infrastructure on Azure. Build and optimize data ingestion, storage, and streaming pipelines; ship new ad-product features; apply ML/AI to improve ad quality; analyze data for technical design; and handle live-site escalations with customers.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and overall developer experience. Provide rigorous, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. The role requires deep software engineering experience, familiarity with AI-assisted development workflows, and the ability to assess code and explanations without reviewing every line.

Build and maintain end-to-end full-stack features across React and backend services using Elixir, Python, Go, and related technologies. Partner with product and design, own projects from specification through launch, apply testing and delivery best practices, shape architecture, resolve technical issues, and mentor junior engineers. The AI agents team develops systems enabling AI agents to reason, act, and improve customer experiences.

This role involves designing and building next-gen payments platforms using blockchain and AI technologies, focusing on payment modernization, security, and regulatory compliance.

As a Staff Software Engineer, you will build and maintain data infrastructure, manage data access libraries, and implement event-driven data flows to enhance data governance and performance at Snorkel AI.

The Software Engineer will build and maintain data infrastructure, implement event-driven data flows, enhance data governance, monitor performance, and optimize costs.

Build frontend experiences for autonomous AI agents, including conversational interfaces, memory and context views, live run timelines, approval flows, worker configuration, and reusable agentic components. Develop real-time interfaces using streaming, WebSockets, and server-sent events while managing complex client state, reconnection, partial results, and failure recovery. Collaborate with backend and agent engineers to shape APIs and deliver fast, accessible, polished products.

Build production-ready AI-native applications, agentic workflows, cloud infrastructure, data platforms, integrations, and DevOps systems supporting nuclear engineering workflows. Responsibilities may span front-end/full-stack development, agentic AI, data and systems integration, or platform infrastructure. The role partners with systems engineering, licensing, and quality teams, documents architectures, maintains development and QA standards, and supports reliable, compliant delivery in a hybrid environment.

Develop and maintain full-stack web applications using C#/.NET, ASP.NET, SQL Server, JavaScript, React or Angular, Azure, and microservices. Responsibilities include architecture, requirements analysis, coding, testing, debugging, deployment, production support, technical documentation, and troubleshooting across on-premises and cloud environments. The role also applies LLM coding agents, agentic coding, and prompt engineering while collaborating with business users, analysts, QA teams, and vendors.

Build and maintain developer workflows, CI/CD and deployment automation, containerized development environments, SDK packaging and release pipelines, AI performance dashboards, and productivity tools. Design scalable software and developer tools for novel hardware platforms, collaborate with hardware and ML teams, manage C++ codebases, establish engineering standards, and optimize software delivery and production readiness.

Build and evolve ngrok’s AI Gateway, including real-time AI traffic handling, policy enforcement, rate limits, usage caps, access rules, token tracking, observability, and explainability. Design customer-focused gateway abstractions and collaborate with Gateway, Customer Data, Platform, product, and design teams to align enforcement, usage, and billing signals. The role involves full-stack development using primarily Go and TypeScript in a production AWS, Kubernetes, and distributed-systems environment.

Develop and support Python backend services, RESTful APIs, integrations, data pipelines, and AI/ML-enabled enterprise applications. The role includes testing, troubleshooting, cloud-native development, production support, and collaboration with Agile teams and risk, audit, compliance, DevOps, and infrastructure stakeholders.

Build and maintain high-throughput, low-latency backend services for Life360’s AdServer and Exchange platform. Own projects from architecture and implementation through deployment, improve real-time bidding and auction logic, integrate advertising partners, and support observability, incident response, and reliability. Collaborate with architects and product teams, use AI coding tools daily, mentor junior engineers, and contribute to engineering standards.

Own the design-for-manufacturing software layer of the Matter Compiler CAM stack. Develop computational geometry algorithms, manufacturability constraints, layout and retention logic, physical process models, validation systems, and production knowledge bases. Collaborate with AI, modeling, design, and process engineering teams to translate manufacturing expertise into auditable, testable code and validate results against fab runs.

Develop and support enterprise RPA solutions, including unattended UiPath robots, workflow automation, API and REST integrations, Office 365 automation, OCR, Document Understanding, and AI Fabric implementations. Responsibilities include technical design, development, robot monitoring and support, customer collaboration, process analysis, documentation, and applying RPA development best practices.

Develop and maintain full-stack web applications, including React-based interfaces, backend services, RESTful APIs, and Oracle PL/SQL solutions. Lead application analysis, design, development, testing, deployment, troubleshooting, security, and operational support. Collaborate with technology teams and business stakeholders, apply Agile practices, use CI/CD tools, leverage AI coding assistants, assess risks, and mentor junior analysts while operating with limited supervision.

Lead rapid, AI-enabled prototyping from concept through launch. Use AI and modern game engines to build playable prototypes, design tools and agentic workflows, evaluate emerging AI tech, iterate with player feedback, and help define scalable AI development practices across the studio.