---
title: 'Senior AI Engineer - Internal Solutions at Cobre'
canonical: 'https://feeny.ai/job/senior-ai-engineer-internal-solutions-cobre-latin-america-erh9ay04ymkj'
type: 'job'
last_seen: '2026-09-06'
---

# Senior AI Engineer - Internal Solutions at Cobre

- **Company:** Cobre
- **Location:** Latin America
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/cobre/jobs/4392110009

## Job description

What is Cobre, and what do we do?

Cobre is Latin America’s leading instant b2b payments platform. We solve the region’s most complex money movement challenges by building advanced financial infrastructure that enables companies to move money faster, safer, and more efficiently.

We enable instant business payments—local or international, direct or via API—all from a single platform.

Built for fintechs, PSPs, banks, and finance teams that demand speed, control, and efficiency. From real-time payments to automated treasury, we turn complex financial processes into simple experiences.

Cobre is the first platform in Colombia to enable companies to pay both banked and unbanked beneficiaries within the same payment cycle and through a single interface.

We are building the enterprise payments infrastructure of Latin America!

The team you'd join

AI Engineering is the platform domain behind every AI-native product at Cobre: a shared AI toolkit, company-wide MCP servers, and the orchestration, tooling and monitoring standards that other squads build their agents on top of. We don't just consume models — we build and operate the infrastructure that makes it safe, fast and cheap for the rest of the company to do so.

You'd join the AI Engineering team and build AI products for the Internal Solutions, turning Cobre's customer support into an agentic system. Today, a meaningful share of client questions — about integrations, API behavior, transaction status, webhook payloads — still get resolved by a person, in whichever channel the client happens to use, whenever someone is available. Your job is to build an agentic layer, reused across channels, that resolves what it can against Cobre's real systems and escalates cleanly to a specialist in Customer Success or Integrations when they can't.

What we are looking for:

An engineer who can take a customer support agent from "it works in a demo" to a system that holds up under real client traffic, across channels and time zones, without ever letting one client's data leak into another's answer.

What would you be doing:

- Own the agentic support layer end-to-end — from migrating the email automation off ad hoc n8n flows onto a single decision engine, through the multichannel entry points (portal chat, WhatsApp, Slack) that will share the same routing and escalation logic.
- Build the deterministic scaffolding around the nondeterministic core — event-driven pipelines, idempotency, retries and dead-letter queues, typed domain models, and an audit trail that holds up to scrutiny.
- Treat client-data isolation as a design requirement, not a refinement — no response can expose one client's data to another, in any channel, under any phrasing of the question. That constraint shapes the architecture from day one, not after a beta.
- Integrate against Cobre's real sources of truth — documentation, the public API, sandbox, Snowflake and Salesforce — behind clean, well-tested interfaces rather than ad hoc calls.
- Design the escalation path — confidence thresholds and handoff logic so a CS or Integrations specialist picks up exactly when the agent shouldn't keep going, with enough context that the client never has to repeat themselves.
- Instrument before you build — correlation IDs that survive every async hop, dashboards for resolution rate and time-to-first-response, alerts that mean something.
- Keep model and vendor choices behind an anti-corruption layer — so a change of model, provider, or agent framework is a one-adapter change, not a rewrite.
- Work AI-natively and hold that work to the normal bar — AI assistants, MCP servers and agents are part of the daily toolkit here, but anything produced with them gets reviewed, tested and owned exactly like code you wrote by hand.
- Partner across the org — with Customer Success and Integrations on what the agent should actually resolve, and with the rest of AI Engineering so you're reusing shared orchestration and monitoring standards instead of rebuilding them.
- Feed what you learn back into the platform — the patterns, guardrails and reusable components that make the next squad's agent faster to build.

What do you need:

- 5+ years building and operating production backend services, with real ownership of what you shipped after it shipped.
- Depth in at least one backend-focused language, and willingness to work in Go if you don't already — Cobre's stack is Go-first, with Python in the mix.
- Distributed systems fundamentals — asynchronous and event-driven processing, at-least-once delivery, idempotency, eventual consistency, and a real answer for what happens when a downstream provider is down.
- Cloud-native AWS development — Lambda, DynamoDB, S3, SQS/SNS — plus containers, IaC and CI/CD as a normal part of your work, not someone else's job.
- Architectural judgment — hexagonal architecture and DDD in practice: rich domain models, ports and adapters, and the discipline to keep third-party SDKs and vendors at the edge of the system.
- Testing discipline — high coverage as a gate rather than an aspiration, table-driven and contract tests, and an honest answer for how you test a component that isn't deterministic.
- Experience building systems that sit in front of sensitive, multi-tenant data, with the isolation and access-control discipline that requires.
- Working knowledge of LLM-backed features in production — prompt design, tool-calling, retrieval, and a clear-eyed view of where they fail and what the fallback is.
- Comfort in an AI-assisted engineering workflow — using coding assistants and MCP-based tooling, and holding that output to the same review bar as anything else.
- Professional fluency in Spanish, our working language day to day, and working English for technical documentation.
- Strong written and spoken communication, in both.

## Nice to have

- Experience with agent-orchestration frameworks (LangGraph or similar) and evaluating multi-step, tool-calling agents.
- Experience building or maintaining MCP servers or comparable tool-exposure layers for LLMs.
- Familiarity with defining golden datasets, eval suites, and confidence thresholds for AI-assisted workflows.
- Kafka, schema registries, and contract evolution in production.
- Experience migrating a product off workflow-automation tools (n8n, Zapier, or similar) onto a centralized service.
- Payments, treasury or fintech background, especially anything touching client integrations or support tooling.

## About Cobre

## Company Overview
- **One-liner**: Cobre builds Latin America’s financial infrastructure, enabling companies to send and receive payments across the region with a single API integration.
- **Entity Type**: Private (Series C)
- **Headquarters**: Bogotá, Colombia
- **Founded**: 2019
- **Founders**: Jose V. Gedeon (CEO), Felipe Gedeon (CRO), Jose Donato (CTO), Alberto Chejne

## Core Business
- **Primary industry**: Fintech / Payments Infrastructure
- **Target customers**: B2B — large and medium-sized enterprises, including e-commerce platforms, technology companies, real estate administrators, and financial institutions across Latin America
- **Mission statement**: To build the business payments infrastructure Latin America needs — making money flow fast, reliable, and frictionless.

## Products & Services
- **Domestic Payments (Pexto Colombia)**: Enables companies to send and receive domestic payments in Colombia with instant transfers, API integration, and full cash flow traceability.
- **Cross-Border Money Movement (CBMM)**: Facilitates real-time cross-border transactions with no intermediaries and full regulatory compliance across Latin America.
- **Treasury Management Platform**: Centralizes treasury operations, automating reconciliation, collections, and payments with real-time cash flow visibility.
- **API Infrastructure**: Programmatic access to payment rails, allowing companies to build financial products and automate money movement.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Total Funding**: $95.29M (Series C, last raised ~2 years ago) [cbinsights.com](https://www.cbinsights.com/company/cobre)
- **Key Metric**: Over $10 billion in total payment volume moved; 12+ million transactions completed in 2024 [cobre.com](https://www.cobre.com/en/about-us)
- **Notable Investors/Partners**: Not publicly listed in detail, but backed by top-tier venture capital firms (Series C round of $27M)
- **Growth Signals**: Expanded to Mexico in 2024 (second-largest market in the region); serves 250+ customers across 8 countries (Colombia, Uruguay, Mexico, Brazil, Chile, Peru, Switzerland, Canada); operates across 24+ industries; 170 total employees [builtin.com](https://builtin.com/company/cobre)

## Competitive Advantages
- **Single API for all of LatAm**: One integration to send and receive payments across multiple countries, reducing complexity for businesses.
- **Real-time infrastructure**: Instant transfers even outside banking hours, with full traceability and data consistency.
- **Regulatory compliance**: Built to comply with local, regional, and global regulations in every market they enter.
- **Proven scale**: Over $10 billion in payment volume moved and 12+ million transactions in 2024 alone, demonstrating production-grade reliability.

## Strategic Focus
- **Geographic expansion**: Entered Mexico in 2024 as the second-largest market; likely to continue expanding across Latin America.
- **Cross-border payments**: Deepening the Cross-Border Money Movement (CBMM) product to reduce friction for companies operating across multiple LatAm countries.
- **Product depth**: Building more programmable, API-first treasury and payment tools to serve enterprise clients and enable new financial products.

## Why Work Here
- **Culture**: Described as adaptable, resilient, and conductor-like — building flexible solutions for mission-critical financial operations. The team values autonomy and ownership.
- **Remote/Hybrid**: Offers remote roles across Latin America, with in-office options in Bogotá and Mexico City. Some roles are fully remote, others are on-site. [builtin.com](https://builtin.com/company/cobre)
- **Engineering culture**: Strong emphasis on building resilient, mission-critical infrastructure. Roles include Senior Software Engineer, Frontend Engineer, Site Reliability Engineer, and Data Engineer — suggesting a modern, cloud-native tech stack.
- **Growth trajectory**: Rapidly scaling company (170 employees, 250+ customers, $10B+ volume) with significant expansion into Mexico — offering strong career growth potential for early employees.
- **Notable perks**: Remote-first culture for many roles; opportunity to work on high-impact financial infrastructure across Latin America.

## Sources
1. [cobre.com](https://www.cobre.com/en/about-us)
2. [builtin.com](https://builtin.com/company/cobre)
3. [cbinsights.com](https://www.cbinsights.com/company/cobre)
4. [job-boards.greenhouse.io](https://job-boards.greenhouse.io/cobre)

## Other roles at Cobre

- [Transactional Monitoring Analyst](https://feeny.ai/job/transactional-monitoring-analyst-cobre-colombia-83bzhbptk2dq) — Colombia
- [Senior Accounting Analyst](https://feeny.ai/job/senior-accounting-analyst-cobre-mexico-city-nqm2a4s5szyj) — Mexico City, Mexico
- [Accounting Specialist](https://feeny.ai/job/accounting-specialist-cobre-bogota-25mnfy4dh8na) — Bogotá, Colombia
- [Data Scientist, Liquidity Products Squad](https://feeny.ai/job/data-scientist-liquidity-products-squad-cobre-latin-america-egnesrftg3gx) — Latin America
- [Product Manager, Liquidity Products Squad](https://feeny.ai/job/product-manager-liquidity-products-squad-cobre-latin-america-kbk8xm58c333) — Latin America
- [Technical Lead, Data Science](https://feeny.ai/job/technical-lead-data-science-cobre-latin-america-rw59j620yqck) — Latin America
- [Trader Senior Posición Propia - México](https://feeny.ai/job/trader-senior-posicion-propia-mexico-cobre-mexico-city-6hsxr8n3dpmm) — Mexico City, Mexico
- [Senior AI Product Engineer](https://feeny.ai/job/senior-ai-product-engineer-cobre-latin-america-5ysmdq0b88x4) — Latin America
- [Tech Lead AI Product Engineering](https://feeny.ai/job/tech-lead-ai-product-engineering-cobre-latin-america-we21aj4a8tae) — Latin America
- [Senior Product Designer](https://feeny.ai/job/senior-product-designer-cobre-latin-america-rx2tvpyzrxv2) — Latin America