Role Description Buscamos un AI Engineer part-time desde LATAM para unirse a uno de nuestros proyectos internos de mayor crecimiento — un sistema de automatización basado en agentes de IA con integración en plataformas de pago. - Desarrollar agentes de IA autónomos con capacidad de toma de decisiones y ejecución de tareas financieras. - Construir e integrar APIs REST para conectar el agente con sistemas externos. - Implementar flujos de trabajo agenticos usando LLMs (OpenAI, Anthropic). - Trabajar con protocolos emergentes de comunicación entre agentes (MCP, A2A). - Colaborar directamente con el equipo técnico en decisiones de arquitectura. Qualifications - Python sólido y experiencia con APIs REST. - Experiencia práctica con LLMs y frameworks de agentes (LangChain, LlamaIndex, OpenAI API). - Conocimiento de arquitecturas agenticas y flujos autónomos. - Trabajo asíncrono y autónomo — sabemos gestionar sin micromanagement. - Español nativo o fluido. - 20 horas semanales de disponibilidad real. Requirements - Imprescindibles: - Python. - LLMs / Large Language Models. - LangChain. - OpenAI API. - REST API Development. - AI Agents / Agentic AI. - Prompt Engineering. - Deseables: - Anthropic / Claude API. - LlamaIndex. - MCP (Model Context Protocol). - Stripe API. - FastAPI. - Fintech. Benefits - Proyecto con impacto real desde el primer día. - Equipo pequeño, decisiones rápidas. - 100% remoto. - Compatible con horario LATAM. - Posibilidad de crecer con el proyecto a largo plazo.

• Design, build, and maintain agentic AI workflows, owning the full lifecycle from prototype through production monitoring. • Build and operate generative media pipelines using ComfyUI, Fal, and direct model APIs. • Ship internal AI tools and dashboards that give Post, Art, Content, and Marketing teammates direct access to AI workflows without engineering support. • Build evaluation, monitoring, and failure-recovery systems for every workflow you deploy. • Partner with the CTO and Tech team on infrastructure, deployment, security, and IP and data handling standards across all AI systems. • Translate department pain points into engineered solutions with measurable outcomes.

Role Description We’re looking for a Senior Clinical AI Engineer to help build the next generation of intelligent wellbeing experiences for Insight Timer, the world’s largest meditation and wellness community, with over 30 million users. This is a rare hybrid role for someone who can both build production-grade AI systems and bring real clinical, psychological, medical, or mental health research judgment to the work. You’ll work directly with our Head of AI, backend engineers, product team, and clinical research collaborators to design and ship AI-powered experiences that are technically robust, clinically thoughtful, evidence-informed, and useful for real people. This is not a pure research, data science, or advisory role. You will be hands-on building agentic AI workflows, integrating with backend systems, designing evaluation and monitoring infrastructure, and helping turn prototypes into reliable product experiences. But unlike a standard AI engineering role, you will also help shape the clinical and wellbeing logic behind those systems: - How they reason - What they recommend - What they avoid - When they escalate - How we evaluate quality and safety We’re looking for someone who is comfortable moving between code, product, clinical reasoning, and research evidence. You might have a background in: - Software engineering plus psychology - Medicine - Psychiatry - Behavioral science - Neuroscience - Digital health - Mental health research - Meditation - Mindfulness - Wellbeing science If you’re motivated by the challenge of building safe, reliable, high-impact AI systems for meditation, mental health, and wellbeing at global scale, we’d love to meet you. Key Responsibilities - Design, build, and ship production-grade AI agents for meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change. - Build agentic workflows that combine technical reliability with clinical and evidence-informed reasoning. - Integrate AI agents with backend APIs, data systems, content systems, and product surfaces. - Build evaluation, testing, and monitoring systems for reliability, safety, quality, and continual improvement. - Design clinical and wellbeing evaluation rubrics for AI outputs, including clarity, usefulness, safety, evidence alignment, and risk. - Work with the Head of AI, clinical research team, product, and engineers to translate clinical and research requirements into product and system design. - Identify risks in AI-generated wellbeing outputs, including unsupported claims, unsafe recommendations, overstatement, inappropriate advice, and poor handling of vulnerable users. - Improve prompts, tools, agent workflows, and retrieval systems based on both engineering performance and clinical/product quality. - Architect flexible, modular workflows that make it easy to test, extend, and improve AI capabilities. - Help define when agentic systems should answer, ask for more context, escalate, refuse, or redirect. - Design data and feedback pipelines that improve agent performance through real-world usage, evaluation, and, where appropriate, fine-tuning. - Translate early AI prototypes into scalable, maintainable product systems used by millions of people. - Help shape Insight Timer’s internal standards for building safe, evidence-informed AI wellbeing products. Qualifications - 5+ years of software engineering experience, including production experience with AI agents, LLM-based systems, or AI-powered workflows. - Strong Python fundamentals and experience building reliable backend systems, APIs, or distributed workflows. - Hands-on experience with agent frameworks, orchestration tools, evaluation pipelines, prompt engineering, retrieval systems, or LLM application architecture. - Formal training, research experience, or applied expertise in psychology, medicine, psychiatry, neuroscience, behavioral science, digital health, mental health, meditation, mindfulness, or wellbeing science. - Strong judgment around clinical or wellbeing claims, evidence quality, risk, user vulnerability, and real-world applicability. - Comfortable evaluating AI outputs not only for technical correctness, but also for safety, clarity, appropriateness, and evidence alignment. - Able to translate clinical, psychological, or research concepts into product requirements, prompts, workflows, and engineering decisions. - Comfortable working across engineering, product, research, and clinical domains. - Pragmatic and product-minded. You know when to move quickly, when to slow down, and when quality or safety needs to come first. - Motivated by building systems that help millions of people live healthier, calmer, and more meaningful lives. Benefits - We offer competitive salaries and options. - The role is fully remote, but you must be based in Australia. - Extra leave days are available for your well-being and birthday. - A generous L&D budget and wellbeing bonus. - We host a global company retreat every other year.

• Build and maintain components of Clarium's master data enrichment pipeline, the system that classifies and enriches every product flowing through our platform • Design and own classification and entity resolution workflows that combine deterministic logic and LLMs for production data processing • Build and operate evaluation harnesses, label sets, and regression suites (we use Braintrust) to measure and improve pipeline quality with confidence • Write production Python and SQL; the majority of your time will be spent in code, not in configuration tools • Analyze complex datasets using statistics and ML to surface actionable insights and inform pipeline improvements • Proactively audit data for quality issues; find the problems no one else has noticed yet, diagnose root causes, and ship fixes