About the Role
HFM is an internationally acclaimed multi-asset broker, delivering cutting-edge trading tools, platforms, and conditions to traders worldwide. We are committed to innovation, transparency, and excellence in the financial markets. As we continue to expand, we are seeking a driven and strategic AI Enablement Engineer to join our team.
Responsibilities
•Manage the onboarding, offboarding, configuration, and lifecycle of AI tools, LLM platforms, MCP servers, and integrations.
•Coordinate AI tooling requests and integrations, ensuring compliance with AI approval frameworks and governance policies.
•Administer AI platforms, including user provisioning, access controls, licensing, model availability, API settings, and usage restrictions.
•Implement AI security controls and guardrails in collaboration with the Security team, ensuring compliance with company policies.
•Configure and troubleshoot MCP servers, AI integrations, API connections, and authentication, collaborating with Infrastructure, Security, AI, and Development teams.
•Support AI gateway administration, including access policies, model routing, usage monitoring, troubleshooting, license utilization, and cost tracking.
•Provide technical support, maintain inventories of approved AI tools, integrations, platform owners, and access permissions, and ensure accurate documentation and operational procedures.
Requirements
•Minimum of 1 year of experience in a similar technical role.
•Good understanding of AI platforms, LLMs, AI tooling ecosystems, integrations, and APIs.
•Experience managing enterprise applications, user accounts, groups, roles, permissions, and access controls.
•Knowledge of SSO, SAML, OAuth, API keys, RBAC, security best practices, and data protection principles.
•Strong troubleshooting skills in application integrations, authentication, and connectivity.
•Resumes must be submitted in English.
•Applicants must be eligible or have legal authorization to work in the country where the position is based.
Nice to Have
•Hands-on experience with AI platforms such as OpenAI/ChatGPT Enterprise, Anthropic Claude, Google Gemini, AWS Bedrock, or similar solutions.
•Knowledge of Model Context Protocol (MCP), including servers, clients, tool permissions, and integrations.
•Familiarity with AI gateways, LLM proxies, model routing, rate limiting, and usage monitoring.
•Experience in LLM guardrails, content filtering, data protection, usage policies, and AI security risks, including prompt injection, data leakage, and excessive agent permissions.
•Experience using Google Workspace, AWS, Python, Bash, REST APIs, automation tools, Infrastructure as Code (IaC), and automated provisioning.
Benefits
•Hybrid Work Model (2 days working from home)
•Wolt Meal Allowance
•Comprehensive Health Insurance
•Provident Fund (upon completion of the trial period)
•Summer Short Fridays (August)
•Additional Paid Annual Leave (up to 30 days, based on years of service)
•Birthday Leave
•Udemy Business access
•Gym Membership
•Referral Bonus Program
•Additional Support: Visa Sponsorship and Relocation Assistance
