Research and Development Engineer

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🕒 April 14

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CoinsPaid

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

₿ Crypto

💳 Fintech

🛍️ eCommerce

💰 Initial Coin Offering on 2021-08

Crypto • Fintech • eCommerce

CoinsPaid is a cryptocurrency payment service provider based in Estonia that specializes in offering a comprehensive range of crypto payment solutions for businesses. This includes a payment gateway, business wallet, and OTC desk, enabling companies to process transactions in various cryptocurrencies securely and efficiently. CoinsPaid stands out for its focus on lowering transaction fees, enhancing security through blockchain technology, and promoting financial inclusion by making crypto payments accessible to a global audience.

📋 Description

• 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

🏖️ Benefits

• Flexible working hours • Remote work options