Artificial Intelligence Engineer

About the CompanyEC Markets is a leading investment and trading services provider, offering clients access to global financial markets through innovative technology and a commitment to regulatory excellence. We specialise in delivering trading solutions across a diverse range of asset classes, including equities, forex, commodities, and derivatives, with a strong focus on transparency, integrity, and client success.With a client-first approach, we are dedicated to creating a secure and supportive trading environment that meets the highest regulatory standards. Our culture is built on collaboration, accountability, and continuous improvement, ensuring that both our clients and employees benefit from our forward-thinking approach to financial services.About the RoleWe are looking for a talented and enthusiastic AI Developer (Python) to join a growing team of experienced technologists and finance professionals and build a best-in-class trading/investment platform, with opportunities for technical ownership from day one. Please note that this role is office-based (Finsbury Square, Monday to Friday).ResponsibilitiesBuild and maintain services that support AI agent interaction.Implement APIs, contracts, and metadata aligned with the Model Context Protocol.Develop internal tooling that supports AI-native workflows.Establish best practices for prompt engineering, model fine-tuning, and evaluation.Stay current with developments in AI/ML and apply relevant research to product needs.Participate in design reviews, code reviews, and incident response.QualificationsBachelor’s degree in Computer Science, Engineering, or equivalent.Required SkillsSoftware development experience with proven expertise in at least one programming language (Python / Java / Typescript) with experience building APIs and integrating backend systems.Solid Machine Learning fundamentals.Model Context Protocol for managing context and tool interfaces for agents.LLM integration patterns, including prompt orchestration and tool calling.Retrieval-Augmented Generation (RAG) for dynamic context injection.Understanding of user-centric design for AI interfaces and intelligent automation.Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.).Preferred SkillsPreferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration.Self-motivated with a strong growth mindset.Pay range and compensation packageCompetitive salary and performance-based bonus.Opportunities for professional growth and career advancement.Contribution pension scheme.A collaborative and innovative work environment.