Top Remote Python Jobs

Build AI-enabled features for a legal technology platform, proactively improve products, and drive engineering projects from concept through completion. The role offers growth into independent contributor or engineering management responsibilities. The company focuses on using AI to support commercial contract negotiation and expand legal technology applications.

Develop and modify Android system services, privileged APIs, and OS-level AI integrations. Build interfaces for AI agents to interact with Android functionality while managing permissions, IPC, application lifecycles, background execution, performance, and resource consumption. Collaborate with agent engineers and debug Android Framework or AOSP components. Preferred experience includes custom ROMs, AOSP contributions, C++, System UI, background services, and power management.

Develop core infrastructure and horizontally scalable APIs for Elasticsearch. Solve complex performance, concurrency, stability, and operational issues; improve observability and developer productivity through automation and AI-enabled workflows. Lead cross-team projects, design APIs, support difficult customer issues, and own investigations through resolution. Collaborate across distributed engineering teams while contributing to open-source projects and maintaining secure, performant, and reliable platform functionality.

Own backend features from inception through production, develop and improve Kotlin services, write maintainable and well-tested code, and design scalable, reliable distributed systems within a small cross-functional team.

Designs and develops scalable NetSuite customizations and integrations using SuiteScript, SuiteTalk, REST/SOAP, and Celigo. Builds connections with eCommerce, 3PL, WMS, POS, and SaaS platforms while supporting ERP processes including order-to-cash, procure-to-pay, inventory, and financials. Responsibilities include architecture, testing, troubleshooting, optimization, documentation, and cross-functional collaboration. The role requires strong systems thinking, business-process understanding, code quality, and clear communication in a remote consulting environment.

Build and scale backend infrastructure for AI-driven freight finance workflows, including document processing, APIs, data pipelines, audit engines, integrations, observability, and performance monitoring. Collaborate with AI/ML teams to productionize model outputs, integrate freight and financial systems, improve engineering practices, and make frontend updates as needed in a remote-first startup environment.

Structured technology leadership program for U.S. master’s students, recent graduates, and early-career professionals. Participants build technical expertise, work on enterprise engineering and solution challenges, explore AI and emerging technologies, develop prototypes, engage customers, and progressively own technical deliverables. Career paths may lead to technology specialization, solution architecture, technical leadership, consulting, pre-sales, or account management.

Designs and develops enterprise Salesforce solutions for B2B, retail, subscription, and CRM applications. Collaborates with developers, analysts, architects, and business teams to analyze requirements, plan releases, document technical designs, build Lightning and Apex solutions, support integrations, and resolve escalated technical issues. The role also advises on declarative versus programmatic implementations, maintains Salesforce interfaces with third-party systems, and ensures code and solution standards are followed.

Leads a global engineering organization delivering embedded software for HP Home, SMB, and Volume Laser products. Oversees software quality, reliability, security, testing, NPI execution, modernization through AI and automation, cross-functional collaboration, organizational development, engineering location strategy, budgets, and resource allocation.

Build scalable backend services, APIs, microservices, and event-driven solutions supporting personalization, recommendations, search, and AI-driven consumer experiences. Integrate AI/ML capabilities, develop React components, implement search using Elasticsearch or OpenSearch, and work with Kafka, databases, Redis, and cloud-native architectures. Ensure systems are secure, observable, resilient, and low latency while collaborating with AI/ML, data, and engineering teams.