Top Software Engineer Jobs

The Knowledge Development Engineer leverages AI agents to solve customer problems by building applications and automating workflows, focusing on delivery speed and quality.

Design and operate scalable, event-driven backend systems in Python for AI-native financial products. Build typed APIs (FastAPI + Pydantic), own data and ledger architectures, develop reliability primitives, partner with ML teams to productionize models, and ship platform foundations for audited, high-throughput financial workflows.

Responsible for developing and enhancing an AI SDK, ensuring high performance and integration with deployment platforms, while collaborating with cross-functional teams and engaging with the open-source community.

Own cross-team, platform-level engineering initiatives end-to-end: architecture, migrations, observability, on-call, and customer outcomes. Drive AI-native tooling and agentic AI adoption, mentor senior engineers, and set technical standards across teams.

Build OpenArt’s enterprise AI platform for teams and organizations. Responsibilities include developing workspaces, RBAC, SSO/SAML, audit logging, usage-based billing, invoicing, payment integrations, scalable APIs, multi-tenant architecture, and polished React/Next.js administration experiences. The role also involves improving security, data isolation, reliability, and SOC 2 groundwork; partnering with founders, sales, and customers; making infrastructure decisions; and establishing enterprise engineering practices as the first hire.

Designs and delivers AI-augmented enterprise integration platforms, API ecosystems, and autonomous workflows. Responsibilities include developing event-driven distributed systems, integrating SAP and SaaS applications, managing API lifecycles, supporting EDI deployments, implementing secure identity and access controls, and building CI/CD and observability capabilities. The role uses agentic AI, workflow automation, and intelligent monitoring to enable self-healing, adaptive integration across cloud and enterprise environments.

The Senior Application Engineer will develop cloud-native applications and APIs, focusing on AI products, utilizing AWS technologies, and engaging in Agile project cycles.

As a Founding AI Backend Engineer at Pakket, you'll enhance backend systems, debug the CV pipeline, and deploy services across warehouses, ensuring operational reliability and rapid feature deployment.

Lead technical strategy and architecture for data-centric solutions across programs. Oversee data acquisition, harmonization, processing, storage, analysis, dissemination, and product lifecycle. Serve as technical lead/Product Owner, define enterprise data standards, decompose backlogs, prioritize features, advise leadership on analytics opportunities, and ensure mission-focused delivery within high-clearance environments.

Lead architecture and development of scalable full-stack applications and distributed backend services (TypeScript/React/Node/GraphQL). Drive technical strategy, cross-functional collaboration with manufacturing, robotics, and operations teams, establish engineering best practices, mentor engineers, and deliver production-grade, reliable, observable software for factory and manufacturing platforms.

Develop, deploy, and maintain research software in classified/HPC and cloud environments. Implement efficient algorithms and data structures, optimize performance, integrate with research infrastructure, provide technical support, and document tools. Higher-level duties include proposing features, leading projects, managing timelines, and supervising staff.

Build and own a space-based AI marketplace from MVP to scale, including its storefront, partner portal, admin tools, APIs, onboarding, entitlements, metering, integrations, deployment workflows, and third-party connectors. The role requires full-stack development, cloud-native infrastructure, multi-tenant authorization, testing, CI/CD, monitoring, and close collaboration with engineering teams.

Build and own a space-based AI marketplace from MVP to scale, including the storefront, partner portal, admin tools, APIs, onboarding, entitlements, metering, integrations, deployment workflows, and third-party connectors. The role requires end-to-end full-stack development, cloud-native infrastructure, testing, CI/CD, monitoring, secure multi-tenant authorization, and collaboration with engineering teams. The founding developer will ship weekly on a small team and use AI-assisted development workflows.

Lead frontend architecture and development for an AI-powered voice platform. Build responsive dashboards and reusable components, integrate real-time WebSocket and WebRTC voice capabilities, consume AI backend APIs, manage complex application state, and optimize performance, accessibility, and reliability. Mentor frontend developers, establish coding standards, collaborate with designers and backend teams, and develop prototypes, testing strategies, and production-ready interfaces.

Build and own Eve's marketing site and GTM engineering stack: integrate and optimize external tools, design AI agents for sales and marketing, implement webhooks and middleware to sync product/CRM data, and create programmatic campaigns and internal tools in partnership with Marketing, Sales, RevOps, and Product to drive growth and automation.

Software Engineers will build AI agents for LiveFlow, focusing on designing integrated agent-driven systems to enhance financial software operations while ensuring data security and compliance.

Lead DigitalOcean Managed PostgreSQL: own strategy, architecture, reliability, scalability, and AI-native integration. Build hyperscaler-grade reliability, scale Advanced Edition for large workloads, partner across Product/GTM/SRE, and grow a high-performing global engineering organization.

Develop and enhance AI Gateway platform, contributing to the design and maintenance of features for optimal reliability in AI workloads while collaborating with cross-functional teams.

Graduate interns will design, develop, test, and debug software, firmware, embedded systems, validation tools, and AI-enabled engineering workflows. Responsibilities include automation, regression testing, log and performance analysis, root-cause investigation, and collaboration with firmware, software, validation, and hardware teams supporting SSD and storage products.

Own and develop production systems across backend services, data infrastructure, AI/LLM workflows, and React/TypeScript applications. Build LLM-powered agents and RAG systems on AWS Bedrock, develop scalable ML and data pipelines, and design PostgreSQL, OpenSearch, Kafka, Redis/Celery, and Kubernetes-based architectures. Partner with technical leadership on system design and roadmap decisions while translating customer and analyst needs into reliable software.

Build and operate full-stack SaaS features across Go services and Vue interfaces. Develop customer installation and instrumentation experiences for agentic systems, expose agent behavior telemetry, and create LLM-backed capabilities involving prompts, context, tool calling, and evaluation. Own production delivery through testing, feature flags, monitoring, logging, and incident resolution. Collaborate through code reviews, documentation, estimation, and clear communication.

Own customer problems from concept through production by building full-stack financial systems powered by AI agents. Develop workflows for invoicing, collections, payroll, reporting, and month-end close; create integrations with banking, accounting, payroll, payment, and communication platforms; and architect secure, auditable, reliable infrastructure. Collaborate directly with founders and finance teams, design intuitive interfaces, iterate based on customer feedback, and help establish the startup’s engineering culture and technical standards.

Lead Appian implementation teams, design scalable platform architectures, mentor developers, guide Agile/DevSecOps practices, integrate web services and RDBMS, produce best-practice documentation, and support client-facing technical strategy and delivery.

Leads development of scalable cloud-native payments and POS software, translating requirements into reliable technical solutions. Drives architecture, software quality, automated testing, CI/CD, observability, production issue resolution, and continuous improvement. Provides technical leadership, mentors engineers, collaborates with product and customer-facing teams, and incorporates customer feedback into product enhancements. The role also promotes modern engineering practices, including AI-assisted development.

Leads architecture, design, and development of complex customer-facing mobile, web, and backend software. Defines long-term technical roadmaps involving Android, React Native, computer vision, edge AI, OCR, and GenAI. Oversees the software development lifecycle, drives innovation, advises on enterprise architectures, monitors industry trends, protects intellectual property, and mentors senior engineers and leaders. The role requires strategic cross-functional influence and onsite hybrid work in Holtsville, NY, or Lincolnshire, IL.