Remote Software engineering Jobs · Python

Job listings

Global 4w PTO

  • Design and implement Sokuvo's API layer: REST endpoints, latency optimization, versioning contracts.
  • Own third-party integrations: GitHub, Jira , Slack, Confluence, Cursor , Google Drive.
  • Build and maintain the backend services supporting Sokuvo's delivery stations.

Arionkoder is a leading Product Development, Artificial Intelligence, and Team Augmentation studio that crafts better futures for humanity. They rely on cutting-edge technology to create impressive digital products and solutions that widen your global reach. They have been dreamers and still are.

$160,000–$240,000/yr

  • Build agentic AI systems that change how Dataiku runs internally.
  • Turn real problems into working software.
  • See your solutions through from first conversation to production.

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.

  • Reverse-engineer data rules and functional prototypes currently trapped in manual spreadsheets or legacy VBA macros, transforming them into reliable web applications.
  • Take features from database schema design (PostgreSQL) and backend API development up to crafting modular, responsive UIs (React/Next.js & Tailwind).
  • Integrate LLM APIs into production workflows to automate operational narratives and extract structured insights.

Launchpad Technologies Inc. is a global technology partner connecting top talent with high-impact projects across North America and beyond. They specialize in Staff Augmentation and product development, helping companies scale with agility while empowering professionals to grow in meaningful, remote-first environments.

$180,000–$280,000/yr

  • Design, build, train, evaluate and improve advanced machine learning and LLM-based systems for patient and provider-facing products.
  • Own problems end-to-end: scope the problem with clinicians and product partners, build datasets and evaluations, iterate on modeling.
  • Develop robust evaluation frameworks that give us confidence our models are safe, accurate, and improving over time.

Curai aims to transform healthcare delivery using artificial intelligence and clinical expertise to make care more affordable, accessible, and effective. They focus on improving health outcomes, expanding access to care, and setting new standards for trustworthy, patient-centered healthcare.

  • Ship fast and well: Deliver a new AI agent every 6 weeks, owning the full backend and AI logic from scoping to deployment — balancing speed with reliability and minimal technical debt.
  • Build for the long term: Architect pragmatic LLM guardrails and future-proof components that hold up in a regulated banking environment and don't need rewriting three months later.
  • Leverage AI daily: Use AI coding tools (Cursor, Claude Code, Copilot…) for ~70% of your coding to review, refine, and ship features faster.

Qonto is creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. Founded in 2017, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries and has been profitable since 2023.

  • Lead the design and development of core platform features using Python and an API-first approach.
  • Build scalable, reliable backend services that power our applications, integrating seamlessly with a modern cloud-based architecture.
  • Collaborate with design and product teams to ensure that what we’re building is scalable, maintainable, and secure.

Agiloft is a global leader in data-first contract lifecycle management (CLM) software, helping organizations manage the end-to-end contract process. The company has a vibrant culture, supports multiple Employee Resource Groups (ERGs), and values work/life balance.

South Africa 4w PTO 2w maternity

  • Architect and build exciting new features for the Noodle Learning Platform.
  • Define database schemas, add/modify REST endpoints, vet and integrate with 3rd party APIs.
  • Translate mobile & desktop wireframes into frontend components, ensuring the UX/UI is pixel perfect.

Noodle is higher education’s leading strategy, services, and technology partner. They develop infrastructure, provide life-changing learning experiences, and grow the awareness of and the enrollment in some of the best academic institutions in the world and aim to empower universities to change the world.

  • Lead the design of a double-entry, multi-partner sub-ledger architecture.
  • Design the integration layer that lets the company add or swap partners without rewriting product code.
  • Design how OFAC screening, BSA/AML signals, and in-house fraud models run inline on every money movement decision.

CertifID provides a secure platform that verifies identities, authenticates wire transfer instructions, and detects fraud attempts in real estate transactions. They have been recognized as one of the Best Startups to Work for in Austin and prioritize a dynamic work environment.

  • Design, develop, and deploy generative AI product features from prototype through scaled production.
  • Build and ship agentic workflows that reliably accomplish real customer outcomes.
  • Collaborate with product managers, designers, and data science to translate ambiguous problems into AI solutions.

Quantum Workplace helps leaders build thriving teams that are aligned, empowered, growing, and valued. They offer a connected talent platform and have partnered with thousands of organizations in their 20+ years in the HR technology space.

$180,000–$250,000/yr

  • Build our core Python/Rust platform: request routing, AI workload orchestration, scheduling, GPU autoscaling, large scale file storage, queueing, etc
  • Produce forward designs for platform evolution as we scale to 100x current traffic and need to provide low latency across the world
  • Leverage AI to an extreme level to automate the mundane parts of building complex but reliable systems

Fal is building the infrastructure, tools, and model access to move from AI idea to production. They aim to be the unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.