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Remitee, a rapidly expanding fintech company specializing in international payments, is seeking an Applied AI Engineer to join its Data & AI Team.
We are looking for a highly autonomous builder — someone who can take an ambiguous operational problem, design the solution end-to-end, and implement AI-driven or automated systems that improve efficiency across the company.
This role focuses on identifying opportunities to optimize internal processes using AI, agents, automation, and system integrations, and building production-ready solutions that scale across teams.
This is not a research role. We value engineers who can translate real operational problems into practical AI systems and deliver them into production.
This role sits at the intersection of AI, data, and operations, with the goal of applying AI across the company to multiply operational efficiency.
In addition to building production systems, this role will also help drive AI exploration inside the company, continuously evaluating new capabilities in AI agents and identifying practical opportunities to apply them.
Key Responsibilities
Own the end-to-end implementation of AI solutions, from problem discovery to production deployment.
Work with operational, technology and business teams (Ops, Finance, Compliance, CX, Commercial, etc.) to identify opportunities to improve efficiency through AI and automation.
Design and implement systems such as:
Remitee is an international, expanding organization with a vibrant culture that sets us apart. Our work environment is fast-paced and stimulating, offering numerous opportunities for growth and development. If you're a self-starter who thrives in a collaborative and challenging environment, we encourage you to apply. Our company values are fundamental to our daily operations. To succeed here, you'll need to embrace and live our company values.
We are looking for a highly autonomous builder — someone who can take an ambiguous operational problem, design the solution end-to-end, and implement AI-driven or automated systems that improve efficiency across the company.
This role focuses on identifying opportunities to optimize internal processes using AI, agents, automation, and system integrations, and building production-ready solutions that scale across teams.
This is not a research role. We value engineers who can translate real operational problems into practical AI systems and deliver them into production.
This role sits at the intersection of AI, data, and operations, with the goal of applying AI across the company to multiply operational efficiency.
In addition to building production systems, this role will also help drive AI exploration inside the company, continuously evaluating new capabilities in AI agents and identifying practical opportunities to apply them.
Key Responsibilities
Own the end-to-end implementation of AI solutions, from problem discovery to production deployment.
Work with operational, technology and business teams (Ops, Finance, Compliance, CX, Commercial, etc.) to identify opportunities to improve efficiency through AI and automation.
Design and implement systems such as:
- AI agents
- internal AI copilots
- automated operational workflows
- operational tooling powered by AI
- Build robust systems that integrate with existing data platforms, APIs, and internal tools.
- Ensure production-grade quality through testing, monitoring, observability, and documentation.
- Continuously evaluate new developments in AI and identify practical ways to apply them inside the company.
- AI agents and agent architectures
- tool-use frameworks and AI integrations
- LLM capabilities and emerging models
- automation patterns and AI-native workflows
- Strong Python skills.
- Experience working with LLM APIs and building AI agents or agent-based systems. (Don’t worry — we’re not expecting five years of experience here :D )
- Ability to independently design and implement end-to-end technical solutions.
- Curiosity about new AI capabilities and motivation to experiment with new tools and approaches.
- Experience working with workflow orchestration or automation platforms.
- Experience with agent tool integration frameworks such as Model Context Protocol (MCP) or similar approaches
Remitee is an international, expanding organization with a vibrant culture that sets us apart. Our work environment is fast-paced and stimulating, offering numerous opportunities for growth and development. If you're a self-starter who thrives in a collaborative and challenging environment, we encourage you to apply. Our company values are fundamental to our daily operations. To succeed here, you'll need to embrace and live our company values.
- Build Trust (Integrity and Transparency). Inspire by example, honor your promises, be sincere.
- Embrace Diversity (Respect and Empathy). Active listen and connect with others, value all perspectives. Acknowledge accomplishments, appreciate contributions.
- Work in Team (Foster Trust and Collaboration). Create authentic partnerships by offering opportunities and sharing responsibilities.
- Focus on Essentials (Be Simple). Make the complex simple by creating effective solutions. Communicate in a clear and easy to understand way.
- Be Your Best Self (Excellence). Commit to discipline and perseverance, nurturing both your body and mind. Approach everything you do with passion and purpose.
Key Skills
Ranked by relevance
ai
python
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- Posted
- Apr 10, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Buenos Aires
- Company
- Remitee
Industries
Financial Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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Automation Engineer
2026-04-10
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View Job Details
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Automation Engineer
2026-04-10
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Lead AI Engineer, AI Productivity
2026-04-10
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