Onhires
AI Engineering Lead
Europe · Posted Aug 21, 2026
About the role
Location: Global Remote (Flexible: Poland, Spain, Portugal, Estonia, Romania, South Africa, and Kenya) Employment Type: Fixed-term, 1 Year Overview Seeking a highly hands-on AI and automation engineer to design, build, and scale intelligent solutions, integrations, and workflows that improve customer experience, operational efficiency, and farmer impact. Brief of the Role Our client is a social enterprise founded in 2006 that equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, they provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by a team of 9,000+ full-time staff, drawn from diverse backgrounds and professions. Their Kenya program, founded in 2006, operates under a local brand. Close to 500 staff at the Kakamega headquarters support 1,747 field staff and serve more than 1 million farmers. In Nairobi, around 50 staff support global functions like procurement, recruitment, government relations, and communications. Seeking a highly hands-on AI and automation engineer to design, build, and scale intelligent solutions, integrations, and workflows that improve customer experience, operational efficiency, and farmer impact. Your Background Knowledge - 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 Technical Skills - 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 Other - A proven track record of personally building and deploying production-grade AI and automation solutions, combined with a builder mindset for solving real-world business problems - Ability to balance hands-on delivery with effective team leadership, coaching, and mentorship to strengthen technical capability - Strong business and operational acumen, with the ability to navigate complex priorities and balance innovation against operational requirements - Proven ability to influence stakeholders and drive the organisational adoption of new technologies - A strong ownership mindset, with clear accountability for delivering measurable business outcomes and enhancing the customer experience - Driven by a passion for leveraging technology to improve farmer impact, combined with high learning agility and a commitment to continuous improvement Res
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