AI Solutions Engineer
We are a technology company that started its journey in 2008. Our main headquarters is located in the picturesque city of Poznań, nestled by the beautiful Malta lake. For more than 17 years, we have been assisting companies in developing and implementing innovative fintech solutions. Leveraging our expertise in areas such as blockchain, online payments, and more, our clients can invent and develop cutting-edge solutions and services that keep them at the forefront of innovation.
AI SOLUTIONS ENGINEER
LOCATION: REMOTE, POLAND (with quarterly offiсe visits in Poznań and flexibility for occasional client visit)
ENGAGEMENT: 12-20 hours/week B2B
(with the possibility to transition to 40 hours/week B2B)
Requirements
Key Services and Requirements: A Roadmap to Your Professional Success 🚀
Your Mission : Take AI solutions from prototype to production. You will work directly with enterprise clients to design, build, and deploy AI-powered systems that solve real business challenges - navigating the technical complexity of integrations, data, security, and scaling.
This is a hands-on engineering role - you will write code, build integrations, debug production issues, navigate enterprise constraints, and work directly with client technical teams to deliver solutions that are reliable, maintainable, and ready for real-world use.
Scope of services:
Client Discovery & Solution Design
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Lead technical discovery sessions with business and IT stakeholders
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Translate complex and ambiguous client challenges into clear technical solutions, architectures, and delivery plans
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Design scalable architectures for AI-powered applications, integrations, and data-intensive systems
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Guide clients through technical possibilities, limitations, risks, and trade-offs when making engineering decisions
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Work directly with client teams to define practical solutions that can be delivered, adopted, and maintained in production
AI Engineering & Integrations
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Build production-grade AI applications using LLM APIs, RAG architectures, and agentic workflows
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Develop integrations between AI solutions and enterprise environments, including APIs, legacy systems, databases, and internal platforms
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Implement solutions using modern AI technologies
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Design reliable data flows, retrieval systems, and approaches for monitoring and evaluating AI solution quality
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Create reusable AI implementation patterns, templates, and best practices that strengthen Espeo’s internal Skills Library
Production Delivery & Deployment
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Own the full delivery lifecycle — from initial proof of concept through production deployment and stabilization
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Write production-quality code, troubleshoot complex issues, and improve system reliability in real-world environments
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Handle enterprise deployment challenges including authentication, security reviews, compliance requirements, data residency, and access management
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Work with cloud platforms and infrastructure to ensure solutions are scalable, secure, and maintainable
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Collaborate with Delivery Managers and account teams to manage scope, technical risks, priorities, and client communication
Knowledge Sharing & Ownership
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Ensure client technical teams are confident and self-sufficient after project completion
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Document technical solutions, deployment processes, integration patterns, and lessons learned
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Share knowledge internally through documentation, workshops, and engineering practices
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Take full ownership of client challenges — staying involved until solutions are stable, adopted, and reliably operating in production
Here’s a set of skills we require:
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8+ years of experience in software engineering, with proven experience delivering production systems
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2+ years of experience working in customer-facing engineering, consulting, solutions engineering, or similar roles
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Strong software engineering skills with the abil