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.

Lead Unity architecture and build persistent, multi-user spatial systems for mobile and wearables. Design spatial persistence, synchronization, AI-assisted content pipelines, and define long-term platform direction as a founding technical contributor.

Design and build the distributed systems layer powering a spatial computing platform: real-time coordination, persistent world state, APIs, AI platform infrastructure (vector search, retrieval, agent orchestration), and scalable services to support many concurrent users and third-party developers.

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.

Builds and ships user-facing product experiences and integrations using low-code, no-code, and AI-assisted development tools. Translates stakeholder needs into maintainable solutions, integrates platform services and APIs, applies authentication, security, privacy, and compliance controls, and partners with Product, Architecture, DevOps, Security, and QA. The role also defines testing, telemetry, documentation, runbooks, acceptance criteria, and post-launch product health metrics.

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 and build end-to-end software primitives for AI infrastructure: domain modeling of power/datacenters/chips, authorization, audit, orchestration, vendor data ingestion (KMZ/BIM/Revit), and agent integration to enable safe, auditable agent operators. Ship production-quality systems and work across ambiguity to turn unstructured data into durable, composable entities.

Lead enterprise SharePoint and Microsoft 365 architecture, modernization, migration, governance, security, and platform strategy in a regulated financial-services environment. Design Power Platform workflows and RPA solutions, migrate automations to Power Automate, and embed LLMs, RAG, agents, bots, and responsible AI capabilities into enterprise collaboration systems. Conduct business analysis, advise stakeholders, oversee architecture reviews, and mentor distributed delivery teams.

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.

Designs and implements intelligent automation across ITSM, IT operations, observability, asset management, and employee support. Builds AI-assisted workflows, self-service capabilities, integrations, APIs, event-driven automations, automated remediation, and predictive operations. Partners with infrastructure, security, service desk, and business teams to modernize ITSM platforms, improve service delivery, reduce manual work, and measure operational outcomes. Ensures solutions meet security, governance, compliance, documentation, and audit requirements.

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.

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.

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.