Job Closed
This listing is no longer active.
Unlocking the world's generosity potential
Senior AI Engineer
Location
Portugal
Posted
9 days ago
Salary
€80K - €86K / year
Seniority
Senior
Job Description
Senior AI Engineer
Fundraise Up
• Agent Architecture Design: Define precise technical requirements for scalable agent architecture, including necessary reasoning frameworks, risk management systems, and knowledge retrieval interfaces required for complex decision-making. • End-to-End Build Capability: Serve as the hands-on technical lead capable of building, testing, and deploying both interim (e.g., RAG-based systems) and highly complex agentic AI solutions. • Technical Implementation: Work alongside strategy leads to ensure that the technical prerequisites for achieving fully autonomous agentic operations are met on the twelve-month roadmap. • Operational Scaling & Integration: Oversee the technical integration and scaling of deployed AI agents within specific operational workflows (e.g., automating specific GTM tasks). • Validation & Testing: Ensure seamless deployment with rigorous validation testing, monitoring agent performance, and iterating on technical builds to improve decision accuracy and reduce latency. • At Fundraise Up, AI is a default tool, not an experimental one. We expect every team member to actively use AI in their day-to-day work, identify where AI can change the shape of problems in their function, and grow their fluency as the tools evolve. You should already be using AI meaningfully in your work and understand where it adds value and how it can improve the way you operate.
Job Requirements
- 5+ years in software engineering, AI engineering, or technical architecture within high-growth technology environments or AI startups.
- Proven hands-on experience in the technical build and deployment of LLM-powered applications, RAG systems, and agentic workflows.
- Deep understanding of the modern AI tech stack, prompt engineering, API integrations, and scalable deployment infrastructure.
- Proven ability to execute complex technical work streams with limited oversight and high accountability.
- Strong technical communicator; able to explain complex architectural decisions and technical trade-offs to non-technical strategic partners.
- A practical, shipping-oriented approach — you are motivated by building reliable, production-ready systems that solve real business problems.
Benefits
- Private medical insurance for the employee and their family
- 22 paid vacation days per year
- Up to 14 paid public holidays per year
- 5 company-paid sick leave days
- English learning courses.
- Relevant professional education.
- Gym or swimming pool.
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- Co-working.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
Related Guides
Related Job Pages
More AI Engineer Jobs
Full Stack AI Engineer
Change by DegreesHelping organisations build sustainability skills with our people-centred learning platform | B Corp Certified 🌎🌱✨
• This is the first software engineering hire at Otonomee and a key role in building the company’s AI capability and platform • You will report to the CTO, with a dotted line to the Product Builder • You will design, build, and ship AI-powered applications end-to-end — spanning backend, data, APIs, and lightweight UI — while establishing the foundation of the Enterprise AI Platform on Azure • In the early phase, this role is highly hands-on • You will turn ambiguous business problems across multiple teams into working solutions using AI-native development tools • As the team grows, the role will evolve toward platform architecture, integrations, and technical leadership
AI Engineer
BlackStone eITA global team who's passionate about transformative enterprise solutions & intelligent design
• Design, develop, and implement artificial intelligence solutions. • Work closely with data scientists, engineers, and stakeholders. • Build scalable AI models and integrate them into product offerings. • Involved in all stages of AI project development from data collection to model monitoring.
• Diseñar e implementar arquitecturas basadas en agentes (LLM + Agent Systems) • Construir sistemas con: Orquestación de tareas • Gestión de contexto y memoria • Tool / function calling • Diseño de flujos conversacionales no deterministas basados en IA. • Integración de agentes con: APIs REST • Webhooks • Sistemas corporativos • Plataformas de mensajería (webchat, WhatsApp, etc.) • Desarrollo de soluciones de IA sobre entornos cloud (especialmente GCP / Vertex AI). • Diseño avanzado de prompts: Control de contexto • System instructions • Manejo de ambigüedad y edge cases • Implementación de estrategias para: Reducción de alucinaciones • Evaluación de calidad de respuestas • Mejora de experiencia conversacional • Garantizar calidad del sistema: Escalabilidad • Robustez • Mantenibilidad • Guardrails • Definir sistemas de observabilidad: Logs de conversación • Métricas de calidad • Evaluación continua • Colaborar con equipos técnicos (backend/frontend) y stakeholders de producto.
AI Engineer
BlackStone eITA global team who's passionate about transformative enterprise solutions & intelligent design
Role Description BlackStone eIT is looking for a skilled AI Engineer to join our innovative team. As an AI Engineer, you will design, develop, and implement artificial intelligence solutions that address complex business challenges. You will work closely with data scientists, engineers, and stakeholders to build scalable AI models and integrate them into product offerings. This position offers a great opportunity to contribute to cutting-edge AI projects and help drive the adoption of AI technologies within our organization. You will be involved in all stages of AI project development, including: - Data collection and preprocessing - Model training - Deployment - Monitoring Qualifications - 3+ years of experience in AI or machine learning engineering roles - Proficiency in programming languages such as Python - Experience with AI/ML libraries like TensorFlow, PyTorch, or Scikit-learn - Knowledge of AI model deployment and monitoring best practices - Understanding of data processing, feature engineering, and model evaluation techniques - Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field - Strong problem-solving abilities and excellent communication skills - Experience with cloud computing platforms (AWS, Azure, or GCP) is preferred - Familiarity with containerization tools such as Docker is a plus Benefits - 💵 Competitive salary paid in USD - 🏡 Fully remote – work from anywhere - 🌎 Work with a diverse international team - 🚀 Exciting projects and a supportive engineering culture - 📈 Opportunities to grow technically and professionally



