• Diseñar e implementar soluciones full-stack que integren modelos de lenguaje y componentes cloud. • Integrar y adaptar APIs de OpenAI y/o Azure OpenAI Service según requisitos funcionales y de seguridad. • Desarrollar microservicios, funciones serverless y/o contenedores para orquestar pipelines de inferencia y procesamiento de datos.

Role Description We're looking for an AI Full-Stack Engineer to join us now and build at insane speed. - Ship. Every single day. - Build full-stack features end-to-end (frontend, backend, AI layer) - Work deeply with LLMs, multi-agent systems, and AI-native UX - Turn user chaos into product clarity - Design systems that autonomously run real business operations - Fix bugs. A lot of them. Fast. - Work directly with founders and users - zero layers - Help define the engineering culture from day one Qualifications - An end-to-end builder (frontend + backend + AI) - Someone who ships daily and doesn't wait for permission - Deep into GenAI - you use AI tools to build faster and better - Comfortable with chaos, speed, and no spec - Product-minded - you think in outcomes, not tickets - Builder > employee - Speed > comfort - Impact > title Requirements - You use AI dev tools daily (Cursor, Claude Code, Copilot, etc.) - You genuinely believe GenAI is changing how software is built - You can build full-stack apps in TypeScript + Next.js - You've worked with LLMs and/or multi-agent systems - You can show real work: GitHub, side projects, shipped products Benefits - Chance to turn this into a full-time role with stock options - Massive growth opportunity in a fast-scaling startup - Small & young team (U25) moving at startup speed - Direct access to founders and real ownership

Role Description We are seeking an AI Engineer with 5+ years of hands-on experience in software development, who thrives on solving complex problems and building products end-to-end. This role is ideal for an engineer who goes beyond traditional development boundaries — someone who can take ownership of ambiguous ideas, rapidly turn them into working solutions, and continuously iterate using modern tools, including AI. - The position is available in Brazil and offers a fully remote job. Qualifications - 5+ years of experience solving complex problems in software - Strong full-stack skills (React, Node.js, JavaScript; MongoDB or PostgreSQL) - Proven ability to build and ship things on your own - Deep experience using AI tools in development (not just occasionally) - Ability to move fast, iterate quickly, and still maintain quality - Strong debugging skills across different layers of the stack - English: Intermediate+ Requirements - Python experience (will be a plus) - Healthcare domain experience (will be a plus) Responsibilities - Use AI to build things that would normally take a team - Prompt your way to a working prototype, then know exactly what's wrong with it - Ship features solo end-to-end using whatever tools get it done fastest - Debug AI-generated code without losing the thread - Know when to trust the output and when to throw it away - Turn a vague idea into a working product in a weekend - Add features or fix bugs live on a call while explaining what you're doing - Maintain and extend projects you vibe coded 6 months ago - Recognise the ceiling of AI tooling and take over manually when you hit it - Build things in your spare time for no reason other than to see if you can Product - Customer: Global startup based in the USA - Type: healthcare - Product: A hybrid healthcare platform for preventive cancer screening. The solution includes a B2C patient portal where users can schedule screenings and access their medical records, as well as a B2B provider portal for doctors and healthcare professionals. - Doctors work with patients through the provider portal using tools like SOAP notes, chronological records, and lab results. The system also includes a manager role with limited permissions compared to doctors. - Stage: Active development - Project team: 6 people: 3 Senior Full-stack developers, 1 Junior Full-stack developer, 1 Junior QA, 1 Middle PM Work Schedule - Full-time remote working day with flexible hours Interview Stages - 1-st stage — call with the Recruiter - 2-nd stage — interview with the developer and the Recruiter - 3-rd stage — technical interview with the client Benefits - Projects with modern stack - Work from anywhere (fully remotely or in our office) - Strong JavaScript community at the company Recruiter - Anastasiia Vaskiv

Role Description We are sharing a specialised part-time consulting opportunity for experienced Grafana power users with strong backgrounds in observability, dashboard design, alerting systems, data source configuration, and technical workflow evaluation. This role supports an exciting collaboration with a leading frontier AI research laboratory focused on improving how advanced AI agents perform real-world Grafana workflows through high-quality task design, reference execution, grading logic, and evaluation analysis. Selected professionals will: - Design expert-level evaluation tasks that test whether AI agents can use Grafana the way real professionals do. - Perform those workflows themselves on hosted Grafana instances to produce reference trajectories. - Implement programmatic graders. - Review model attempts to identify failures and root causes. This opportunity is especially well-suited to professionals with deep Grafana expertise, strong systems thinking, and the ability to translate real-world observability workflows into rigorous AI evaluation tasks. Qualifications - 2+ years of daily, professional Grafana experience in SRE, Platform Engineering, Observability, or similar environments. - Deep familiarity with PromQL, dashboard templating, alerting pipelines, and data source configuration such as Prometheus, InfluxDB, or related systems. - The ability to articulate workflows clearly enough for programmatic verification. - Comfort writing basic grading scripts in Python. - Strong systems thinking and the ability to work independently in structured technical workflows. Requirements - Experience with Grafana API automation. - Background in Kubernetes or infrastructure monitoring. - Familiarity with AI evaluation or benchmarking. - Ability to translate complex operational workflows into measurable, reviewable task structures. Benefits - Contribute specialised Grafana and observability expertise to a cutting-edge AI collaboration. - Help improve how advanced AI agents perform real-world monitoring and dashboard workflows. - Work on high-impact task design, grading, and benchmarking systems with strong practical engineering relevance. - Flexible remote work with structured expectations and competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Hourly compensation of $90–$150 per hour. - Expected commitment of 10–15 hours per week minimum during the project. - Fast turnaround is expected and responsiveness matters. - Projects may be extended, shortened, or concluded early depending on project needs and performance. - Weekly payments via Stripe or Wise. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. - Please note: We are unable to support H1-B or STEM OPT candidates at this time. - Start date: Immediate.