Artificial Intelligence Engineer

Are you excited by the idea of taking cutting-edge AI technology and turning it into real-world solutions that transform how businesses operate?
For our global Medtech client, we're looking for a Forward Deployed AI Engineer to work directly with stakeholders across Finance, HR, Legal, Operations, and other business functions, identifying high-impact opportunities and delivering AI-powered products that solve meaningful problems. You'll combine technical expertise with business acumen, taking projects from idea to production and driving measurable outcomes across the organisation.
Contract Length: 6 months (possibility of renewal) - Full time (flexibility allowed)
Presence: Fully remote from European union
Employment type: Freelance (only candidates with limited company)
APPLICATIONS FROM CANDIDATES OUTSIDE OF EUROPE WILL NOT BE CONSIDERED.
ONLY CANDIDATES WITH VALID EU PASSPORT OR PERMANENT RESIDENCY IN EUROPE.
Responsibilities
Partner with business teams to identify high-impact AI use cases and translate requirements into solutions.
Design, build, and deploy AI-powered applications, agents, and automations.
Own projects end-to-end, from discovery and prototyping through production rollout and adoption.
Integrate AI solutions with enterprise systems, data sources, and workflows.
Drive user adoption through training, documentation, and stakeholder engagement.
Ensure solutions meet security, governance, and responsible AI standards.
Champion responsible AI. Apply the organisation's security, privacy, and governance standards to everything you build, and help stakeholders use AI safely and effectively
Requirements
5+ years of overall experience + Engineering degree
Experience building and delivering production-grade software applications.
Developed and deployed an AI Skill to business users.
Strong coding skills in Python, SQL, and JavaScript/TypeScript (or similar).
Hands-on experience with LLMs, AI agents, RAG, and AI orchestration frameworks.
Knowledge of cloud platforms (Azure, AWS, or GCP) and enterprise AI services.
Experience with APIs, enterprise system integrations, Git, CI/CD, Docker, and Kubernetes.
Strong stakeholder management and communication skills, with the ability to translate business needs into technical solutions.
Ability to work independently, navigate ambiguity, and deliver measurable business outcomes.

Work arrangement
Yes