# Coinspaid Solutions — AI Platform Engineer

| Field | Value |
|---|---|
| **Date found** | 2026-06-14 |
| **Company** | Coinspaid Solutions |
| **Role** | AI Platform Engineer |
| **Location** | European Economic Area — Remote |
| **Salary** | Undisclosed |
| **Job URL** | [LinkedIn](https://www.linkedin.com/jobs/view/4425980927/) |
| **Status** | New |

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## Company Research

| Field | Value |
|---|---|
| **Headquarters** | Tallinn, Estonia |
| **Founded** | ~2014 |
| **Employees** | 350+ professionals (270 across 30+ countries); 157 on LinkedIn |
| **LinkedIn** | https://www.linkedin.com/company/coinspaid-com/ — 21,536 followers |
| **Website** | https://coinspaid.com |
| **Blog** | — |

- **Product:** Blockchain payment infrastructure — stablecoin processing, multi-chain connectivity, on-chain settlements, risk controls, and developer APIs for businesses and financial institutions in the digital asset economy.
- **Customers:** 800+ merchant accounts; businesses and financial institutions operating in crypto/digital asset markets, including iGaming and Forex verticals; €700M+ processed monthly.
- **Notable:** Private and profitable, licensed in Estonia; 10+ years in blockchain; awarded Best Crypto Payment Solutions multiple times in 2024; 300% engineering headcount growth in recent months; remote-first across 30+ countries.

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## Job Summary

**What they do:** Coinspaid Solutions builds blockchain payment infrastructure that connects digital assets with real-world financial operations for businesses and financial institutions globally.

**The role:** Solo AI Platform Engineer (greenfield) in the R&D team — building the foundation of Coinspaid's internal AI capabilities, owning the full stack from AI agents to pipelines to MCP integrations.

**Core work:**
- Design and build production-grade AI agents to automate internal engineering workflows (code review, test generation, documentation, monitoring)
- Develop end-to-end AI pipelines: data prep, LLM integration, orchestration, error handling, observability
- Write MCP integrations and agentic tools (function calling, tool use, multi-agent coordination) using LangGraph/Anthropic/OpenAI APIs
- Evaluate and select AI frameworks and models; maintain a registry of agents with versioning and traceability

**Stack:** Python · Go · LLM APIs (Anthropic, OpenAI, Gemini) · AI agents (tool use, memory, multi-step workflows) · MCP · LangChain / LangGraph (nice-to-have) · RAG · vector databases

**Work style:** Fully remote, EEA-wide. Greenfield role with high autonomy — solo AI engineer for R&D. Remote-first company.

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## Score: 78%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 75% | Genuine agentic scope: building AI agents with tool use, memory, multi-step workflows, MCP integrations, multi-agent coordination. LangGraph as nice-to-have rather than core reduces score slightly. |
| Tech fit (25%) | 80% | Python (required), Anthropic/OpenAI APIs, AI agent deployment in production, MCP, LangChain/LangGraph (nice-to-have). Strong stack overlap with Luca's profile. |
| Remote fit (25%) | 90% | EEA-wide fully remote; company is remote-first with team across 30+ countries. Very strong. |
| Company culture fit (15%) | 55% | Remote-first, high autonomy, "AI-native" feel for this role. But core domain is crypto blockchain payments — niche, not AI-native startup. 350+ employees reduces startup feel. |
| IC/leadership balance (10%) | 90% | Explicitly a greenfield IC role — "build the foundation of our internal AI capabilities" with high autonomy and direct impact. No management. |
| **Final (weighted)** | **78%** | Strong remote fit and tech match; crypto domain is niche but culture and ownership are positive signals. |

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## Strengths

- Greenfield AI role with full ownership — first AI Platform Engineer in R&D
- Strong stack alignment: Python, Anthropic/OpenAI, MCP, LangGraph, AI agent deployment
- EEA fully remote, remote-first company with proven distributed culture
- Private and profitable company — financially stable, no runway risk
- Production-grade agentic AI work (not prototyping)

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## Weaknesses & Risks

- ⚠️ Salary undisclosed — crypto domain compensation can vary widely
- Crypto/blockchain domain is niche — may limit future career mobility if too domain-specific
- Company is a blockchain payments firm, not an AI-native product company — AI is internal tooling, not the product
- 350+ employee company in a regulated crypto space — possible compliance overhead

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## Suggestions

- Clarify salary range and compensation structure early
- Emphasise production AI agent experience and MCP/tool-use knowledge
- Ask about roadmap for the AI function: is this purely internal tooling or will AI become part of the product?

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## Interview Tracker

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