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Backend developer at Ergon AI, an Italian startup, hired to work remotely on a proprietary product — contributing to its technical evolution and building new features with a focus on growth and scalability. No specific tech stack is named in the posting.
Backend Developer at Ergon AI working remotely on a proprietary, scalable product: building advanced features and driving the system's technical evolution with Node.js and TypeScript, in a collaborative team with continuous training and professional growth.
Backend developer building scalable backends, APIs, and AI integrations for Ergon AI's proprietary product using Node.js, TypeScript, GraphQL, cloud architectures, and Git. Remote, collaborative environment with involvement in technical decision-making alongside frontend and mobile teams.
Remote backend developer at Ergon AI, working on a proprietary product by designing scalable backend architectures and integrating APIs and cloud tools, with a focus on AI-assisted development. Core stack: Node/TypeScript and GraphQL. Fully remote role with continuous training and performance-based compensation.
Owns and evolves the Azure-based cloud infrastructure powering clera's AI platform: building Terraform/Bicep infrastructure as code, running Docker/Kubernetes (AKS), designing CI/CD pipelines, and establishing security, observability, and reliability practices in partnership with software and ML engineers.
Android developer building new features on a consumer mobile app (Kotlin/Jetpack Compose, MVI/Clean Architecture) for a fast-growing AI-powered hardware company, with exposure to embedded Android on physical devices and AI-native, AI-assisted engineering workflows. 4 days on-site in Melbourne CBD; up to $130K + super.
Lead Business Analyst at a large AI-focused consultancy in North London, leading BA activities from discovery through implementation on data, cloud and AI transformation projects for clients, acting as the bridge between stakeholders, technical teams and delivery specialists.
Manager role at a PE-backed data & AI consulting firm in London (hybrid): you first train a new cohort of engineers in data, AI and modern systems, then stay hands-on, deploying with them into end-client environments and owning technical delivery as a consultant.
Fully remote, part-time hourly contract (~15 hrs/week, $60–$120/hr) building Reinforcement Learning environments that evaluate AI models on real software-engineering workflows like debugging, refactoring, and performance optimization. Requires deep proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust; no prior AI experience needed.
Part-time remote hourly contract for an AI Engineer at Synthires: design reinforcement learning environments that evaluate AI models on real software engineering workflows like debugging, refactoring, and performance optimization. Requires strong proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust; pays $60–$120/hour (~15 hrs/week).
Build and optimise AWS data pipelines and ETL/ELT processes for an AI-driven consumer intelligence platform, working with large behavioural datasets using Python, SQL, and Spark, alongside AI-assisted development tools like Claude. Hybrid role in London (3 days in office).
Lead Data Engineer at a fast-growing AI SaaS company in London (hybrid, 4 days/week in office). You'll lead and mentor a small data engineering team, own delivery and engineering standards, review SQL and code, and work directly with external customers, using SQL, Python and cloud data platforms.
Reactor is hiring a Platform Engineer in San Francisco to own the infrastructure platform its AI models run on: multi-region Kubernetes across AWS and GPU cloud providers, GitOps deployments, GPU node scheduling and caching, networking/media relays, observability, and CI/CD for Go and Python services.
A contractor role for frontend developers in India: instead of building pages, you evaluate AI-generated web reproductions against reference sites, judging visual fidelity, responsive behavior, and code quality across viewports, and write evidence-based rationales. Core stack: hand-written HTML, CSS, JavaScript, and browser DevTools.
A brand designer in Merciv's SoHo office who owns the day-to-day expression of the brand — sales decks, marketing assets, social content, and web pages — reporting to the Head of Brand. Core tools are Figma, Notion, and modern AI tooling, with work spanning typography, layout, motion, and web design.
Senior Program Manager at Atoms, a Physical AI robotics company, who owns hardware issue management end-to-end in San Francisco: running intake and daily triage of hardware anomalies, administering and automating issue tracking in Linear, driving cross-functional issues to verified closure, and publishing status reports. Onsite five days a week with some travel.
Atoms, a Physical AI robotics startup in San Francisco, seeks a Senior Program Manager to own vehicle configuration and change control for its R&D fleet — maintaining the as-designed/as-built/as-running record of hardware and software, defining capture processes, and integrating with PLM, ERP, and MES systems.
Atoms, a physical-AI robotics company, is hiring a Senior Program Manager to own configuration and change control for its R&D vehicle fleet — defining the configuration data model, keeping hardware and software records accurate, and governing release eligibility across platforms. The role involves PLM/ERP/MES integration design and requires onsite work in San Francisco with time in the garage.
Senior Product Manager at Atoms (a Physical AI robotics company) owning the operator and in-vehicle experience for autonomous machines: how they communicate state and intent, safety-critical interactions, and human factors validation. Day to day: writing requirements, running delivery with engineering, field research on customer sites, and partnering with hardware, safety, and autonomy teams.
Senior Product Manager at Atoms owns the in-vehicle and operator experience for its autonomous physical-AI robots — defining how machines communicate state and intent, safety-critical interactions, and human-factors validation. Day to day: writing requirements, running roadmap and delivery, field research with operators, and partnering across engineering, hardware, and safety.
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