Top Artificial Intelligence Jobs in Lisbon

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

The Founding Account Executive will manage the full sales cycle, building relationships with technical buyers, closing deals, and collaborating with the CRO to shape pricing strategies and pipeline generation.

Lead the design team for a knowledge platform that enhances conversational AI experiences, setting strategy, mentoring, and collaborating with stakeholders.

The Senior AI Services Consultant will provide technical solutions, drive project delivery, and ensure customer satisfaction for AI-based services.

Lead development of AI agents, architect and scale agentic platforms, ensuring reliability, training LLMs, and collaborating cross-functionally. Responsible for mentoring and driving technical leadership.

The AI Implementation Specialist will lead AI solution deployment, integrate models, collaborate with teams, and ensure alignment with business goals while traveling across markets.

The Backend Engineer will develop and maintain features for Restream web services, design backend APIs, ensure infrastructure resilience, and contribute to a collaborative team environment.

As an AI/ML Engineer, you will develop and optimize machine learning models for mobile applications, collaborate with teams, and analyze data to enhance user experience.

As an AI Product Manager, you will lead the development of AI-powered features, collaborating with cross-functional teams to align products with user needs and business goals, while overseeing the product lifecycle.

Serve as the technical and product expert for Zendesk AI, guiding customers through configuration, integrations, adoption, and optimization. Drive on-time project delivery, change management, training, and cross-functional collaboration to ensure measurable business outcomes, retention, and scale of AI solutions.

The Senior ML Engineer will collaborate with ML Scientists, lead discussions on system design, manage ML projects, and develop scalable infrastructure for ML features.

Lead a team of Machine Learning Engineers, deliver AI/ML features, improve software reliability, and foster a diverse work environment.

Lead the development of a SaaS platform, mentoring a team and integrating AI capabilities while driving architectural decisions and ensuring alignment with business goals.

The AI Success Strategist will oversee customer AI roadmaps, ensuring alignment with business goals, driving AI adoption, and improving retention metrics.

Lead design for Zendesk Knowledge, creating AI-driven knowledge and Help Center experiences. Partner with PMs, engineers, researchers, and content strategists to prototype, test, and deliver interaction models, flows, and high-fidelity designs that scale and improve conversational AI and self-service outcomes.

The People Analytics, Digital & AI Expert enhances People processes through analytics and technology, driving data governance, AI adoption, and digital solutions within the organization.

The Lead AI Engineer will design and implement AI-powered data systems, focusing on agentic frameworks, NLP, and collaboration with data engineering teams.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

The AI Lead Engineer will oversee a team developing scalable AI solutions, focusing on generative AI, agent-based systems, and collaboration across business and technology teams while ensuring security and governance standards are met.

Lead cross-functional engineering teams to deliver high-quality AI products. Oversee system performance, manage staffing, and ensure architectural excellence in AI.

As a Staff Frontend Engineer, you will lead frontend feature delivery, collaborate across teams, ensure high-quality UI, and mentor junior engineers for the AI Copilot organization.

The Senior ML Scientist is responsible for researching and building machine learning solutions for AI capabilities, collaborating closely with teams to improve customer support systems using ML techniques.

As Lead Product Designer for the AI team at Zendesk, you will design Copilot experiences, collaborating with cross-functional teams to enhance customer interactions and workflows through AI.