AI Platform 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 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