Senior AI Solutions Engineer

Location: Madrid, Spain

Company

hirify.global provides clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.

What you will do

• Design, develop, evaluate, and deploy AI, machine learning, Generative AI, and agentic AI solutions for complex business and client challenges.
• Translate business requirements into scalable technical solutions and implementation plans.
• Build intelligent workflows using machine learning models, LLMs, enterprise data, APIs, and agentic frameworks, including RAG, semantic search, knowledge discovery, intelligent automation, and decision support.
• Define evaluation approaches for solution quality, performance, business impact, and risk.
• Integrate AI solutions with enterprise platforms, data sources, and analytical products, and transform proofs of concept into reusable production capabilities.
• Apply and contribute to software engineering, MLOps, LLMOps, security, governance, documentation, methodologies, standards, and best practices while supporting adoption across markets and business units.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Experience designing and deploying AI, machine learning, advanced analytics, or Generative AI solutions in production environments.
• Strong understanding of AI, machine learning, Generative AI, LLMs, prompt engineering, and agentic AI concepts.
• Experience building solutions with modern AI frameworks and tools.
• Knowledge of RAG, vector databases, semantic search, and knowledge retrieval techniques.
• Experience integrating AI solutions with enterprise systems, APIs, and cloud platforms.
• Strong software engineering and solution development skills.
• Understanding of AI governance, evaluation, monitoring, security, and compliance practices.
• Ability to communicate technical concepts to technical and non-technical stakeholders.

Nice to have

• Experience building AI-powered products or client-facing AI solutions.
• Familiarity with orchestration frameworks, AI agents, and multi-agent systems.
• Experience working with structured and unstructured enterprise data.
• Knowledge of predictive analytics, machine learning, and advanced analytics methodologies.
• Knowledge of Responsible AI, model governance, compliance, and risk management.
• Experience in healthcare, life sciences, commercial analytics, or consulting environments.
• Familiarity with MLOps and LLMOps practices.

Culture & Benefits

• Focus on applying AI technologies to real-world business challenges and delivering practical, scalable, measurable outcomes.
• Builder’s mindset, moving solutions from concept to deployment.
• Curiosity about emerging technologies and continuous learning.
• Strong collaboration and stakeholder management across business, analytics, and technology teams.
• Work connected to healthcare intelligence, life sciences, and improved patient and population health outcomes.