Top Tech Jobs & Startup Jobs in Portugal

Own fraud detection and prevention for a product by analyzing large datasets, identifying fraud patterns, creating risk rules, optimizing false-positive rates and 3DS decisions, and improving verification workflows. Collaborate with Product, Payments, Data, and Engineering teams while tracking fraud trends and communicating data-driven recommendations. Strong SQL and practical payments-risk expertise are required; Python and fintech experience are preferred.

Own the reasoning core of an agentic AI platform by designing multi-agent workflows, prompt architectures, retrieval systems, evaluation harnesses, memory, tool use, guardrails, and failure recovery. Build production APIs and distributed services using Python, LangGraph, DSPy, LlamaIndex, MLflow, Neo4j, and PostgreSQL-based hybrid retrieval. Evaluate model and prompt performance, make architecture tradeoffs, and use AI coding agents extensively to develop, test, and improve production systems.

Edit 100–140 educational, marketing, short-form, and long-form videos monthly. Create polished, conversion-focused content with advanced motion graphics, kinetic typography, animated assets, transitions, sound design, and strong visual storytelling. Maintain brand standards, deliver high-quality edits with minimal revisions, and support influencer teachers and performance marketing. The role requires strong creative judgment, fast turnaround, professional editing-tool proficiency, and at least B2 English.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

Creative Producers manage end-to-end video, static, and social media content production for external clients and brands. Responsibilities include translating client objectives into creative briefs, guiding creative teams, developing concepts, overseeing quality, managing timelines and resources, presenting solutions, incorporating feedback, and improving production workflows. The role requires hands-on video production experience, client-facing communication, creative judgment, and at least two years of producer and creative team leadership experience.

Leads client-facing architecture and delivery of production-grade AI/ML systems, including agentic workflows, multi-agent systems, RAG pipelines, search, recommendations, and decision-support tools. Advises clients, leads and mentors ML engineering teams, manages technical engagements, and oversees projects from discovery and architecture through deployment, monitoring, and iteration.

Lead research and production development of LLMs and transformer models for machine translation and language quality. Design evaluation frameworks, agentic NLP workflows, training pipelines, and model-provider strategies. Own flagship model programs from data curation through production integration, mentor researchers, review technical work, and collaborate with Product and Engineering to ship capabilities. The role requires deep NLP and LLM expertise, rigorous experimentation, strong Python and ML library skills, and technical leadership.

Build production-grade AI agent capabilities, including Agent2Agent communication, MCP integrations, and multi-step agentic workflows. Design, implement, evaluate, deploy, and monitor agent features while improving reliability, latency, and cost at scale. Collaborate with product and engineering teams to translate customer experience needs into agent architectures and contribute to internal frameworks and tooling.

Provide accurate customer support through chat and email, troubleshooting product, account, payment, and general inquiries. Follow compliance and customer-protection procedures, work rotating shifts, document solutions, improve the knowledge base, and share customer feedback internally. The role requires strong English communication, corporate customer support experience, attention to detail, problem-solving ability, and in-office availability in Porto.

Supports students from onboarding through graduation by providing high-touch assistance, moderating live virtual sessions, answering program questions, monitoring learner progress, and removing blockers. Manages cohort logistics, resources, feedback collection, and Voice of the Customer reporting. The role also identifies workflow improvements, coordinates with technical teams, and helps optimize support systems and customer-facing processes.