Research And Development Engineer

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 observabilityWrite 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 teamMaintain a registry of agents, skills and their infrastructure: versioning, changelog, ownership, and dependencies — ensuring full traceability and auditabilityCollaborate 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 systemsProven track record of owning technical initiatives from idea to productionUnderstanding of how LLMs work: prompt engineering, context management, structured outputExperience working with LLM APIs: OpenAI, Anthropic, Gemini or open-source modelsExperience building and deploying AI agents in production: tool use, memory, multi-step workflows, observabilityStrong analytical skills: defining success metrics, measuring impact, iterating based on dataPractices AI-assisted development dailyExceptional problem-solving and ability to work independentlyGood level of spoken and written EnglishNice to have:Knowledge of RAG (Retrieval-Augmented Generation) and vector databasesExperience with LangChain / LangGraph or similar agentic frameworksExperience with MCP (Model Context Protocol) or building custom agent toolsExperience integrating with corporate tooling: Jira, Confluence, Slack, GitHubBackground in fintech, payments or other regulated environments