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MANGO

White-label payment platform with API integration

Senior Machine Learning/Artificial Intelligence Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timePalau-solità i Plegamans, SpainNo salary listed

About the Job

Requirements

  • A technical degree in Computer Science, Mathematics, Physics, Telecommunications, Data Engineering, or a similar field.
  • At least 4 years of applied machine learning or artificial intelligence experience, including production models such as forecasting, classification, natural language processing, or machine learning operations, and 1–2 years working with large language models in production.
  • Experience building agents or retrieval-augmented generation systems in production, not only proofs of concept or courses, using a Python agent framework.
  • Strong Python skills and software engineering fundamentals, including application programming interfaces, testing, continuous integration and continuous delivery, and Docker.
  • Experience with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, and deploying artificial intelligence services.

Responsibilities

  • Design agent architectures, including task decomposition, agent collaboration patterns such as Supervisor/Subagent and Plan-and-Execute, and human-in-the-loop intervention.
  • Build agents in Python using frameworks such as LangGraph, OpenAI or Claude Agent SDK, or Google ADK, on FastAPI and Pydantic.
  • Build the retrieval-augmented generation systems supporting agents, including ingestion, embeddings, vector or hybrid search, agent memory, and integrations with corporate systems via Model Context Protocol.
  • Evaluate and monitor agents in production using evaluation pipelines such as LLM-as-Judge, RAGAS, or DeepEval; tracing and cost and latency controls such as LangSmith or Langfuse; and security guardrails.
  • Identify business use cases in design, supply chain, e-commerce, and customer service, and take them from concept to production.

Desired Qualifications

  • Experience evaluating and monitoring agents in production and with Model Context Protocol.
  • Experience with vector databases such as pgvector, OpenSearch, or Pinecone.
  • Open-source contributions or publications.
  • Experience in retail, fashion, or e-commerce.

About the Company

MANGO

White-label payment platform with API integration

Mango provides a white-label payment platform in Latin America that lets merchants accept and process payments while keeping their own brand. Its core products are API-driven payment solutions that integrate into merchants’ systems, enabling features like chargeback reduction, enhanced customer credibility, and independent promotions management. The platform operates mainly on transaction fees and API subscription revenues. Mango differentiates itself by offering a brand-preserving, API-first payment stack tailored to Latin American businesses and by supporting merchants with tools to manage branding and promotions under their own name rather than under Mango’s brand. The company aims to simplify payments for a wide range of clients—from small businesses to large enterprises—while contributing a portion of profits to environmental conservation efforts, specifically protecting the missionary jungle and wildlife.

Company size
1-10
Company stage
Seed
Total funding
$150K
Headquarters
Argentina
Founded
2013

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