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Middle full-stack developer building and running Generative AI cloud applications in the Microsoft ecosystem, mainly backend (Python or .NET on Azure) with occasional React/Next.js frontend work, CI/CD, and infrastructure-as-code. Fully remote within Spain; candidates must live in Spain with work authorization.
Backend-oriented full stack developer joining Pasiona Consulting's AI products team in Barcelona, building a multi-cloud GenAI platform (Secure GPT) on Azure, AWS and Google Cloud. Day to day involves API development, testing, security and scalability work in an international team; AI/RAG/prompt engineering experience is valued.
A Forward Deployed Software Engineer at Microsoft embeds with customer teams to design, build, and operate production-ready systems and AI-powered solutions in small multidisciplinary crews, owning the full lifecycle from design to deployment. Core work spans modern software engineering (C#, Python, JavaScript, C++, Java) plus AI/LLM development and cloud AI platforms.
A senior platform engineer on Cerebras' security Detection and Response team who builds and operates the internal systems behind security telemetry pipelines, detection execution, and response automation. Day-to-day is Python engineering, cloud operations (AWS/Azure/GCP), IaC (Terraform/Pulumi, CI/CD), and on-call reliability for the platform.
Trideca is hiring a Microservices Engineer and AI Technical Architect in the Canberra region to provide technical leadership, designing and delivering microservices-based, AI-driven solutions for large Australian enterprise clients such as NAB, Suncorp, and Optus.
Hands-on individual-contributor role that establishes and governs physical security across Cerebras' contract manufacturing sites — running assessments, setting sensitive-area access and IP-protection standards, overseeing guard services and cargo/logistics security, and responding to incidents. Requires ~30-40% travel around Sunnyvale, CA.
Principal data scientist on Microsoft's Copilot/MAI Ecosystem Data Science team: defines North Star metrics, experimentation frameworks, and causal-inference analyses that guide AI product and investment decisions, partnering with product, engineering, and executive leadership. Core toolkit: Python/R/C++/Java/C#, statistics, experimentation.
Build and scale LLM infrastructure, RAG systems, and agentic AI for enterprise search and assistants, working with Python/Go/Java.
Build and maintain AI agents that automate and enhance Samsara’s customer-success workflows for fleet and equipment operations, using Python and LLM APIs to drive retention and efficiency.
Senior pre-silicon verification engineer building end-to-end test flows for AI accelerator silicon, from IP to SoC and emulation, using UVM and AI-assisted tooling.
Entry-level 16-month Fast-Track Apprenticeship at SIA Innovations, a Montréal AI/cloud transformation consultancy. The System Architect apprentice designs AI-agent and hybrid human/agent system architectures for Fortune 1000 and public-sector clients, built mainly on IBM's stack, while completing ~19 hours/week of structured training on a partner track.
Customer-facing technical advisor helping enterprise customers adopt SnapLogic's AI-powered integration platform: uncovering high-value AI use cases, prototyping solutions, and guiding pilots from ambiguous ideas to proven, KPI-backed outcomes. Centers on LLM/agentic architecture expertise, prompt engineering, and enterprise integration (iPaaS) knowledge.
Build and optimize Amplitude’s Nova OLAP engine, a distributed system processing trillions of events to power AI-driven product analytics and autonomous experimentation for thousands of customers.
Runlayer's first brand designer will define and run its brand as a system across web, marketing, events, and sales collateral, partnering with product design and building AI tooling to scale brand work. Core tools include Figma, Paper, and Google Slides, with work spanning motion, print, and campaigns.
Ambient.ai is hiring its first dedicated video editor on a two-person creative team, producing fast short-form vertical social video (LinkedIn, YouTube Shorts) plus long-form brand, product, and launch content. Day to day involves editing, motion design, UI capture/animation, and final delivery using Adobe Premiere Pro and After Effects.
Machine Learning Engineer at Capable Labs (San Francisco, on-site) building ML systems that remove bottlenecks in drug discovery and development. Day-to-day involves fine-tuning biomolecular models (ESM, AlphaFold-family, RFdiffusion, ProteinMPNN), building tools for scientists, and connecting model predictions to wet-lab results.
Tech lead for Google Photos working on applied/generative AI features: defining technical strategy and architecture, rapidly prototyping zero-to-one GenAI concepts, and partnering with first-party teams, while doing full-stack development across Java/Python/Go/C++ back ends and JavaScript/TypeScript front ends.
Principal Product Manager on Microsoft 365 Core defining the strategy and roadmap for agentic AI platform experiences that let developers, service owners, and operators onboard, deploy, and run services through trusted AI agent workflows. Day to day: platform vision, cross-org alignment with engineering and security leaders, and mentoring, centered on AI agents, orchestration, and developer platfo
Collectly is hiring a Senior DevOps/DevSecOps Engineer to build and maintain scalable infrastructure, CI/CD pipelines, monitoring, and security/compliance automation for its AI-driven healthcare revenue-cycle platform. Day-to-day work centers on Terraform/Ansible IaC, CI/CD tooling, cloud platforms, and observability/security tooling.
Software engineer at healthcare-AI startup Artera who owns the billing workflow end-to-end: building and operating a Salesforce-centered, AI-driven billing pipeline (Apex, Flow, Lightning Web Components), integrating healthcare vendor APIs, fine-tuning document-extraction AI models, and writing Python with monitoring and feedback loops.
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