Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy.
We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape.
For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries.
We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams.
🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration.
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
Practices AI-assisted development daily
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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