Top Remote Jobs in Portugal

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Own end-to-end pipeline generation for an enterprise-focused AI SaaS company. Build full-funnel inbound and outbound-assisted programs, translate positioning into campaigns and narratives, run experiments across channels, use AI and automation to improve GTM execution, and create repeatable growth systems. Partner closely with sales, product marketing, and content to optimize funnel conversion, handoffs, attribution, and revenue outcomes.

Lead the company’s ML/AI platform from experimentation through production, including SageMaker training infrastructure, model serving, inference pipelines, MLOps, and Java microservice integrations. Set AI/ML technical direction, develop GenAI and LLM retrieval and agent architectures, establish evaluation and safety guardrails, and partner with data science, DevOps, product, and engineering leadership on scalable ML roadmaps.

Build and operate globally distributed, high-throughput ad-serving systems with strict latency and availability requirements. Responsibilities include evolving ad decision pipelines, improving scalability, reliability, security, and performance, designing new product features with product management, providing operational oversight, and collaborating with customer success. The role also involves production backend development, cloud services, APIs, databases, on-call support, infrastructure modernization, testing, and observability.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.

Own the product roadmap for data center whitespace infrastructure (power distribution, liquid and air cooling). Consolidate Voice of Customer and market intelligence, define product requirements and value propositions, run competitor and patent analysis, create customer-facing documentation, support launches, enable sales/solutions teams, and provide occasional on-site technical consultations and training.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.