We are seeking a Lead AI Engineer to design and deliver enterprise-grade automation and agent solutions using Microsoft Copilot Studio, Python, SQL, Langflow, and APIs.This is a senior technical leadership role responsible for defining architecture, engineering standards, and long-term maintainability of AI-driven workflow systems. You will lead complex automation initiatives, own SQL and agent architecture decisions, and mentor a growing team of automation engineers.You will operate at the intersection of AI engineering, workflow orchestration, data architecture, and enterprise governance.Key ResponsibilitiesAI & Agent ArchitectureDefine and lead agent strategy and architecture across Copilot Studio and custom AI workflowsDesign orchestration patterns, system boundaries, handoffs, and escalation logicEstablish governance standards for Copilot Studio implementationsEnsure solutions are scalable, secure, and maintainableSQL & Data Architecture OwnershipOwn and define enterprise SQL architecture, including:Data modeling standardsStored procedure design patternsPerformance tuning strategiesGovernance and maintainability standardsDesign scalable queries and procedures to support agentic and workflow-driven systemsEnsure performance, resilience, and long-term operability of the data layerWorkflow & Automation EngineeringBuild advanced Langflow workflows for multi-step automation scenariosDevelop custom Python components and modular automation servicesImplement robust error handling, logging, and observability practicesTroubleshoot complex, cross-system issues spanning agents, workflows, APIs, and databasesAPI & Integration ArchitectureArchitect and integrate APIs across systemsDefine authentication and authorization standardsEnsure resilience, clear contract definitions, and versioning strategyTechnical LeadershipProvide hands-on technical leadership and mentorshipConduct code reviews and enforce engineering standardsDrive best practices for:Version controlCI/CDPackaging and containerization (Docker)Unit testing and structured commitsPromote documentation, reusability, and maintainabilityStrategic & Cross-Functional CollaborationPartner with product owners and stakeholders to translate business objectives into automation and agent solutionsIdentify and prioritize automation opportunities based on impact and scalabilityDrive alignment between AI strategy, data architecture, and business outcomesRequired Experience8+ years of relevant engineering experienceBachelor's or Master's degree in Computer Science, Data Science, or related fieldTechnical ExpertiseAdvanced SQL (architecture, modelling, stored procedures, performance tuning)Strong Python engineering (production-grade components, async patterns, modular design, testing)Deep expertise in Langflow (multi-step flows, custom Python nodes)Agent architecture and orchestration (Copilot Studio + custom workflows)API design and secure integrationPrompt engineering proficiencyVector databases and embedding modelsData engineering fundamentals (pipelines, integration, warehousing)CI/CD, Docker, version control best practicesNice to HaveKnowledge of AI ethics, bias mitigation, and responsible AI practicesWhy Join UsWork in a modern software development company with international clientsBe part of a collaborative, supportive teamLearn how tech recruitment works end-to-endFlexible working model and long-term growth opportunitiesCompany apartments in cool cities across Europe: work and enjoy a memorable getawayAbout UsWe are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions. Our team embraces unconventional ideas and new technologies, delivering solutions with real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.Job Type: Full-timePay: €54,000.00-€120,000.00 per yearBenefits:Work from homeExperience:Python: 8 years (required)Copilot: 3 years (required)Work Location: Remote