AI Engineering Lead

🕒 August 21

🌐 Poland, Spain, +5 more countries – Remote

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⏳ Contract/Temporary

🟠 Senior

🤖 AI Engineer

👻 Ghost score 26%

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OnHires

11 - 50 employees

Founded 2020

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

OnHires is a global IT recruitment and staffing partner that sources, vets, and places technical and creative talent for fast-growing companies. They provide services including vetted developers, sourcing, executive search, talent mapping, RPO, HR consulting, and flexible hiring models (subscription, pay-per-hire, hourly), with a focus on fast, high-quality hires and scalable talent pipelines.

📋 Description

• Partner with business leaders to identify opportunities for AI, automation, and intelligent systems to improve customer experience, operational efficiency, decision-making, and business performance • Translate organisational priorities into a pipeline of high-impact AI and automation initiatives • Support development and execution of the AI and automation roadmap • Ensure AI and automation investments align with business priorities and deliver measurable value • Lead the full lifecycle of AI-enabled solutions, workflows, and automation capabilities, including design, development, deployment, and scaling • Architect and integrate AI solutions across enterprise applications, data platforms, and operational systems • Build scalable, secure, and maintainable solutions for real business problems • Balance innovation and delivery speed with technical sustainability, risk management, and strategic requirements • Guide technical decision-making across AI, analytics, and process improvement initiatives • Maintain engineering standards through architecture, code, and technical reviews • Champion adoption of automation, AI, and intelligent ways of working • Identify opportunities to simplify processes, reduce manual effort, improve controls, and enhance decision quality • Support responsible adoption of emerging AI technologies and best practices • Ensure initiatives are operationalised successfully and achieve intended outcomes • Mentor engineers through hands-on guidance, pair-building, and technical reviews • Establish governance and operating standards • Drive innovation, accountability, and continuous learning • Deliver solutions meeting business goals, timelines, and adoption targets • Monitor performance, adoption, and impact of AI and automation solutions • Identify operational, technical, ethical, and adoption risks and implement mitigation strategies • Continuously improve effectiveness, sustainability, and value realization of deployed solutions • Ensure the AI and automation portfolio supports long-term growth and strategic ambitions

🎯 Requirements

• Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Engineering, Information Systems, or related technical field required • Strong understanding of artificial intelligence, automation, machine learning, analytics, and emerging technologies • Strong understanding of business process improvement, operational systems, and digital transformation principles • Good understanding of enterprise systems, integrations, software engineering, and technology platforms • Strong understanding of customer-centric design and technology adoption principles • Strong understanding of the organization's operating model, customer journeys, and strategic priorities • Strong AI engineering, automation engineering, and software development capability • Demonstrated experience building and deploying production-grade AI, automation, and intelligent workflow solutions • Strong solution design, systems-thinking, and workflow orchestration capability • Strong API, integration, middleware, and enterprise systems integration experience • Experience integrating AI capabilities into business processes, enterprise systems, and operational workflows • Ability to translate business challenges into practical AI and automation solutions • Ability to evaluate technical trade-offs and guide solution design decisions • Strong experimentation, analytical, and problem-solving capability • Ability to assess emerging technologies and determine practical business application • Proven track record of personally building and deploying production-grade AI and automation solutions • Ability to balance hands-on delivery with team leadership, coaching, and mentorship • Strong business and operational acumen • Proven ability to influence stakeholders and drive organisational adoption of new technologies • Ownership mindset and accountability for measurable business outcomes • Passion for leveraging technology to improve farmer impact, high learning agility, and commitment to continuous improvement

🏖️ Benefits

• Weekly check-ins with manager • Mentorship and training programs • Regular performance feedback • Career reviews every six months • Time to discuss aspirations and career goals • Opportunity to shape a growing organization and build a long-term career • Health insurance • Housing • Comprehensive benefits

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