Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Build and own backend services, ERP and supplier integrations, AI agentic workflows, spend analytics, and customer-facing procurement features. Develop evaluation and monitoring systems for production AI, establish architecture, improve security and privacy, and mentor junior engineers. Collaborate directly with customers and founders to shape product direction in an early-stage environment.

Design and build scalable backend services and RESTish APIs for a multi-tenant streaming platform. Develop customer- and enterprise-facing web server backends in Go, ensure web application security, and support highly available cloud systems. Conduct code reviews, troubleshoot issues, and improve performance, reliability, scalability, and maintainability across global services. The role requires experience with high-traffic web services, distributed architectures, containers, and CDNs.

Own frontend architecture for React and TypeScript applications supporting complex research and analytics workflows. Build performant, accessible interfaces; establish standards for performance, testing, accessibility, and CI quality gates; evolve shared component libraries and design systems; partner on API contracts; address technical debt; contribute to Django services; and mentor engineers while leading department-wide technical initiatives.

Designs, develops, maintains, and supports integrations between SAP Business Suite and external systems. Builds interfaces using SAP PI/PO, APIs, REST, SOAP, OData, XML, JSON, IDoc, RFC, and BAPI; creates mappings, transformations, routing, and interface configurations. Troubleshoots failures and performance issues, monitors data exchange, supports testing and deployment, documents integration architecture, and collaborates with SAP functional, business, and external application teams.

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.

Lead zero-to-one product development while shaping Unify’s product roadmap and engineering foundation. Build scalable AI-powered products using TypeScript, Prisma, Temporal, PostgreSQL, Kubernetes, Pulsar, ClickHouse, and LLMs. Evaluate technology platforms and vendors, establish engineering standards, manage infrastructure, deliver high-quality products at scale, and mentor multiple engineers while collaborating closely with founders, product, design, and engineering teams.

Senior backend (Python) engineer responsible for designing, building and maintaining RESTful backend services and APIs, integrating data science outputs, optimizing performance and multithreading, troubleshooting UAT/integration issues, leading teams, and documenting solutions for enterprise Data-to-Decision systems.

Own customer outcomes from discovery through production deployment. Build decision systems using ontologies, reasoning, graph analytics, optimization, and machine learning over enterprise data. Write Python, SQL, and PyRel; debug unfamiliar systems; tune performance; harden deployments; document reusable solutions; and upstream platform improvements. Lead technical workshops and proofs of concept while partnering closely with customers, Product, and Engineering.

Own end-to-end supplier integrations: design, implement, test, and monitor third-party APIs. Ship weekly, improve tooling and abstractions, ensure reliability, and mentor peers. Use AI-assisted workflows to speed integration development.

Lead enterprise MuleSoft and API management initiatives by designing, implementing, securing, deploying, and governing integrations across SAP, ERP, cloud, on-premise, hybrid, SaaS, and legacy environments. Develop API specifications, layered API architectures, integration flows, and technical diagrams. Provide technical leadership, mentorship, and architectural guidance to distributed teams while ensuring scalable solutions and adherence to integration best practices.