We're looking for an AI Platform Engineer to join CoinsPaid R&D; and build the foundation of our internal AI capabilities. You'll design and ship production‑grade AI agents, own end‑to‑end pipelines, and work directly with LLMs to automate engineering workflows across the company. This is a greenfield role with high autonomy and direct impact.

Responsibilities

Design, build and maintain AI agents to automate internal processes and boost team efficiency (code review, test generation, documentation, monitoring and beyond)

Develop and own end-to-end AI pipelines: data preparation, LLM integration, orchestration, error handling, and observability

Write skills, tools and MCP integrations for agentic systems (function calling, tool use, multi-agent coordination)

Evaluate and select AI frameworks, models and APIs (LangGraph, OpenAI, Anthropic, etc.)

Build internal expertise: document approaches, share knowledge with the team

Maintain a registry of agents, skills and their infrastructure: versioning, changelog, ownership, and dependencies — ensuring full traceability and auditability

Collaborate with Security to implement their requirements into agent design and pipelines (access controls, data handling, audit logs, vendor approvals)

Requirements





5+ years of backend development experience (any language)

Proficiency in Go or Python — required for building AI pipelines, MCP integrations, and agentic systems

Proven track record of owning technical initiatives from idea to production

Understanding of how LLMs work: prompt engineering, context management, structured output

Experience working with LLM APIs: OpenAI, Anthropic, Gemini or open-source models

Experience building and deploying AI agents in production: tool use, memory, multi-step workflows, observability

Strong analytical skills: defining success metrics, measuring impact, iterating based on data

Exceptional problem‑solving and ability to work independently

Good level of spoken and written English

Nice to have

Knowledge of RAG (Retrieval-Augmented Generation) and vector databases

Experience with LangChain / LangGraph or similar agentic frameworks

Experience with MCP (Model Context Protocol) or building custom agent tools

Experience integrating with corporate tooling: Jira, Confluence, Slack, GitHub

Background in fintech, payments or other regulated environments

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📌 Research And Development Engineer (Madrid)
🏢 Talent
📍 Madrid