Top Software Engineer Jobs

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Lead architecture and development of custom business applications that automate legacy workflows for SMB clients. Translate business processes into scalable CRM, project-management, integration, and operational software using AI-assisted development through Replit. Ensure application security, reliability, infrastructure stability, and performance. Design integrations with legacy systems such as Sage 300, and eventually recruit and mentor a development team while establishing AI-augmented engineering practices.

Own end-to-end development of AI product demos, including React and TypeScript interfaces, streaming chat and agent workspaces, backend-for-frontend services, database schemas, deployment, observability, and on-call. Partner on app-builder tooling, design systems, agent-facing CLI and deployment experiences, accessibility, localization, audit trails, and enterprise readiness. Debug across backend and Kubernetes infrastructure while delivering reliable, AI-native product experiences.

Own the AI inference and runtime platform, including open-weight model serving, Kubernetes operators and autoscaling, GPU infrastructure, stateful vector and graph stores, and secure microVM-based agent sandboxing. Build Rust, Python, and Kubernetes control-plane services; manage infrastructure as code, observability, metering, lifecycle operations, upgrades, backups, and failover. Establish security controls, open-source standards, and reliable production operations across cloud and managed GPU environments.

Design, implement, test, and maintain full‑stack software across backend and frontend. Participate in full product lifecycle, review peer code, create documentation, collaborate globally, and help drive strategic goals.

Design, build and maintain backend services and data pipelines; drive technical design and implementation; ensure product and technical excellence through testing, performance tuning, instrumentation, and automation; collaborate across global teams and lead projects in distributed, large-scale systems.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Build and scale backend and full‑stack systems powering patient booking, clinician routing, logistics, and device integrations. Ship end-to-end features, design APIs and data models, solve scheduling/dispatch challenges, integrate with external health systems and medical devices, and own projects from 0→1 while collaborating with product, data, ops, and clinical teams.

Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Own 0->1 projects, design APIs and data models, solve scheduling and dispatch challenges, integrate external health systems, and collaborate with product, data, ops, and clinical teams.

Tenure-track Computer Science faculty to teach in an ABET-accredited undergraduate program, conduct and publish research, advise majors, serve on committees, and teach across modalities (face-to-face, online, hybrid). Responsibilities include developing and delivering courses, mentoring students, and contributing to departmental service and scholarship.

Design, develop, and enhance secure, scalable software applications using modern programming languages and cloud-native technologies. Collaborate with product, design, and engineering across the SDLC, apply Agile and DevOps practices, and leverage automation and AI-driven tools to improve productivity and code quality.

Own AssemblyAI’s go-to-market technology stack, including Salesforce, enrichment, outbound automation, routing, scoring, and AI agents. Build production automations, integrations, internal tools, and AI workflows for prospecting, research, personalization, and lead scoring. Convert product usage data into actionable sales signals, automate account targeting, maintain clean funnel data, and partner with Sales and Marketing leadership to improve pipeline and revenue operations.

Lead org-wide developer experience and AI-enabled developer workflows. Identify and solve high-leverage bottlenecks across build systems, monorepo tooling, CI/CD, and test reliability. Drive standards, enable monolith-to-modular migration, embed with product teams, mentor engineers, and deliver AI-native developer tooling and adoption at scale.

Build and maintain Go-based backend services and APIs on AWS for agentic AI workflows, including metadata suggestions, automated ownership reassignment, system deprecation, and agent/MCP inventory. Design database schemas and queries in PostgreSQL and MongoDB, integrate asset discovery tooling, map dependencies and user journeys, and refactor legacy code safely. Deliver tested features through Agile/Scrum while collaborating with program and customer teams.

Build and operate an AI-native software development lifecycle across planning, coding, review, testing, deployment, and incident response. Develop internal AI agents, shared harnesses, CI/CD gates, automated QA, code reviewers, and developer workflows. Embed with engineering teams, ship on their backlogs, drive adoption, remove infrastructure and tooling blockers, and measure improvements in throughput, quality, cycle time, cost, and developer experience.

Embed with customers to understand workflows, design and deploy tailored conversational AI solutions, and build supporting infrastructure, APIs, integrations, monitoring, and feedback loops. Translate business needs into technical architectures, identify reusable deployment patterns, influence the product roadmap, and operate autonomously in ambiguous environments while collaborating with technical and non-technical stakeholders.

Lead and mentor a distributed team of 13 engineers across AI/ML, cloud backend, frontend, and DevOps. Own delivery cadence, remove blockers, plan milestones, manage performance, and foster career development. Champion CI/CD, cloud automation, monitoring, documentation, and engineering excellence. Partner with German and US leadership on operations, architecture, organizational alignment, and scalable processes across time zones.

Lead design, develop, and deploy secure, scalable full-stack applications (Java or Python) for finance planning and analysis. Drive architecture reviews, operational stability, CI/CD automation, cloud-native AWS deployments, and integration of AI/ML/LLM capabilities. Mentor teams and lead engineering communities of practice.

Join Rain's AI team as a Backend Engineer to build scalable backend systems and AI-powered features while collaborating with business teams.

Own Arize’s product documentation and build automation to keep content accurate, detect code-documentation drift, test examples, and draft updates. Create tutorials, cookbooks, onboarding materials, and open-source demonstrations for developers and coding agents. Coordinate documentation with partners, frameworks, and course authors; gather community feedback; support marketing content; engage developers at events and online; and prototype product features with the Product team.

Designs and delivers enterprise-grade AI-first full stack applications for Master Data Management. Develops Java backends, React or Angular frontends, REST APIs, microservices, data models, and integrations. Leads architecture, debugging, testing, performance, scalability, code reviews, Agile ceremonies, and technical direction. Uses and evaluates AI coding tools, mentors junior engineers, and collaborates with product, UX, QA, and platform teams.

Design, develop, test, deploy, and maintain backend services and data pipelines. Ensure technical and product excellence, performance, and engineering best practices. Collaborate across global teams, drive projects, and contribute to large-scale system design and distributed computing challenges.

Leads application engineering for an AI-powered email product, owning backend, mobile, and desktop architecture. Designs reliable AI workflows with orchestration, state management, retries, fallbacks, and failure handling; builds APIs connecting AI capabilities to product experiences; and leads a senior engineering team through architectural decisions, reviews, mentorship, and production excellence. Partners with ML leadership to ship scalable, observable, secure, and reliable systems while balancing latency, cost, user experience, and maintainability.

Lead the architecture and development of reliable AI-powered email applications across backend, mobile, and desktop platforms. Design APIs and workflow systems supporting orchestration, state, tool use, retries, fallbacks, and failure handling. Lead a small senior engineering team, make architectural trade-offs, mentor engineers, and establish strong production practices including observability, monitoring, testing, scalability, security, and operational excellence. Partner with ML leadership to deliver robust, high-quality product experiences.