AI Solution Developer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Solution Developer (AI/Fintech): Transforming AI initiatives into scalable, reusable solutions across the organization with an accent on knowledge management automation and AI asset creation. Focus on developing scalable frameworks, building AI-powered automation for knowledge gaps, and supporting the internal AI champion network.
Location: Hybrid in Tbilisi, Georgia
Company
is a global payables automation platform providing a cloud solution to scale and automate global payables operations.
What you will do
- Convert AI experiments into reusable assets such as templates, skill libraries, and agent registries.
- Develop AI-powered solutions to automate knowledge management processes, including identifying gaps and surfacing insights.
- Create scalable frameworks and standards to support organization-wide AI initiatives.
- Collaborate with cross-functional teams to ensure AI solutions are clean, maintainable, and easy to hand off.
- Support and enable the internal AI champion network by designing and delivering AI training initiatives.
- Continuously explore and implement new AI capabilities and tools to improve internal efficiency.
Requirements
- Experience with AI tools, prompting, and practical AI workflows.
- Hands-on experience building and shipping real-world AI solutions or automations.
- Proficiency with Git and version control workflows.
- Strong self-starter mindset with the ability to operate independently in ambiguous environments.
- Strong communication and collaboration skills.
Nice to have
- Experience with Model Context Protocol (MCP).
- Experience integrating APIs and external systems.
- Experience with automation platforms such as Workato, Make, n8n, or Zapier.
- Experience building internal AI agents, workflows, or knowledge systems.
- Background working in fast-paced startup or innovation environments.
Culture & Benefits
- Work at a fintech unicorn with $565M in funding.
- Fast-moving environment where ownership is valued and experimentation is encouraged.
- AI-first culture focusing on operational impact and efficiency.
- Opportunity to drive internal AI adoption across a global organization.
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