About

Us

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

Must have

Minimum of 1 year of experience in 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

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.
Familiar 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.

Resumes

must be submitted in English.

Applicants

must be eligible or have legal authorization
to work in the country where the position is
based.

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

Sounds

like you? Let’s write the next chapter together!

All

Applications will be handled with the strictest

confidentiality.

AI Enablement Engineer