Top Software Engineer Jobs

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

Design and build scalable backend services, data-processing workflows, APIs, databases, cloud infrastructure, and AI-powered systems. Lead architecture and technical strategy, own reliability and production operations, mentor engineers, and guide cross-team initiatives from design through deployment. The role focuses on transforming unstructured customer data into reliable structured outputs and developing LLM-powered and agentic workflows.

Join Raft to innovate national defense technology. Collaborate on AI, machine learning, and UX/UI design to create impactful defense solutions.

Lead end-to-end product builds by orchestrating AI coding agents to create applications, automations, and agents. Translate customer needs into deployable solutions, instrument and iterate on outcomes, validate AI outputs for security and quality, engage with customers to find automation opportunities, and document prompts and patterns for the team.

Leads the design, development, and deployment of scalable, reliable software and infrastructure solutions. Builds AI agents, automation workflows, observability integrations, and monitoring systems using technologies including C++, Python, Java, Claude, Codex, BigPanda, ITMP, and Prometheus. Collaborates across teams, drives engineering standards, mentors junior engineers, and manages complex end-to-end projects.

The Senior Machine Learning Engineer will develop NLP solutions, manage datasets, optimize performance metrics, and work on ML applications for healthcare.

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Build the enterprise platform for an AI creative product, including workspaces, roles, permissions, SSO, audit logging, usage-based billing, invoicing, and payment infrastructure. Design scalable APIs and multi-tenant architectures, strengthen security and reliability, and create React/Next.js administrative experiences. Partner with founders, sales, and customers to deliver enterprise requirements, establish engineering practices, and help shape the enterprise engineering team.

Design and operate scalable, event-driven backend systems in Python to power agentic AI workflows and real-time financial infrastructure. Own APIs, data architecture, reliability primitives, and platform foundations while partnering with ML and product teams to productionize AI-native financial systems.

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.

As a Knowledge Development Engineer, you'll architect and deploy AI-driven production systems, reverse-engineer existing systems, and guide product development. You'll synthesize customer feedback and lead experiments to connect technical development with business outcomes.

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

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.

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 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.

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.

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.

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.

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.