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Onhires

AI Engineering Lead

Europe; Poland; Spain; India (Remote); Remote — Romania; Remote Europe; Kenya; Estonia; Portugal ; South AfricaRemote · Europe
Staff · FullTime · Data Science / AI / ML
POSTED 21 AUG
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80 days opentrue age
Posted 21 Aug
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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

Responsibilities & Expectations

Drive AI and automation strategy to support organisational priorities

Partner with business leaders to identify opportunities where AI, automation, and intelligent systems can improve customer experience, operational efficiency, decision-making, and business performance

Source · OnhiresFirst seen 7 NovOriginal ↗