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Home Jobs Nairobi Junior AI Solutions Development Engineer

Junior AI Solutions Development Engineer

Nathan Digital  · Consulting

Full Time Nairobi
Nairobi
KSh 50,000 - KSh 100,000/month
Deadline: 3 September 2026
Posted June 6, 2026

We are seeking a highly motivated and skilled professional to join our team in this critical role. The ideal candidate will possess a proven track record of [specific industry experience or technical skill] along with [required certifications or degrees]. Key responsibilities include [list major duties], with a focus on [specific outcome or objective]. The role demands strong [essential soft skills, e.g., communication, problem-solving] and the ability to [additional critical competency]. Collaboration with cross-functional teams, adherence to deadlines, and a commitment to excellence are essential for success in this position.

We seek a motivated and ambitious Junior AI Solutions Engineer to strengthen our expanding team in Nairobi. This position presents an excellent opportunity for recent graduates or professionals in the early stages of their careers to gain practical expertise in artificial intelligence and machine learning.

You’ll collaborate with seasoned engineers and multidisciplinary teams to design, develop, and deploy AI-driven solutions tailored to address pressing business needs. The position provides a rich learning experience with access to cutting-edge AI tools, frameworks, and practical implementations.

Key Responsibilities

Collaborate with the team to design, develop, and implement AI/ML models tailored to address key business challenges.

We assist in organizing and refining raw data, developing meaningful attributes to enhance model input, and assembling curated datasets ready for analysis or machine learning deployment.

Partner with product, engineering, and business stakeholders to gain a comprehensive understanding of their needs, then develop innovative AI-powered solutions to address those requirements effectively.

Construct and manage comprehensive AI pipelines from end to end, encompassing model training, rigorous testing, and seamless deployment.

Integrate artificial intelligence models into software applications through API and microservice architectures.

Monitor the model’s performance metrics and lead initiatives aimed at enhancing its efficiency and effectiveness through targeted optimizations and refinements.

Document internal processes, models, and workflows for organizational reference and operational clarity.

Remain abreast of advancements in artificial intelligence, machine learning, and cutting-edge technological innovations.

Requirements

We are seeking candidates with a strong educational foundation and relevant professional experience in the specified field. Applicants should hold at least a bachelor’s degree in a related discipline, though advanced degrees or specialized certifications may be preferred for certain roles. Prior to work experience in a comparable position is highly desirable, particularly when it demonstrates a track record of success and adaptability in dynamic environments. Additionally, familiarity with industry-standard tools, methodologies, or compliance regulations may be required based on the position’s demands.

A Bachelor’s degree in computer science, artificial intelligence, engineering, or an equivalent discipline is required.

A strong background in mathematics, statistics, or data science is beneficial.

Seeking a candidate with proficiency in a variety of technical skills, including but not limited to programming languages such as Python, Java, or C++, as well as experience with software development methodologies and frameworks. Familiarity with database management systems, cloud computing platforms, and DevOps practices is highly desirable. The ideal applicant should demonstrate expertise in troubleshooting, debugging, and implementing efficient solutions to complex technical challenges. Strong problem-solving abilities, attention to detail, and a commitment to continuous learning are essential for this role.

Proficiency in Python, R, or Java, ranging from foundational to intermediate levels, is preferred.

Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

Proficiency in fundamental machine learning principles, including supervised and unsupervised learning methodologies, as well as techniques for model evaluation, is essential.

Possesses a foundational understanding of data structures, algorithms, and software development principles.

Experience with APIs, data pipelines, or cloud platforms such as AWS, Azure, or GCP is considered advantageous.

Soft Skills

Individuals should possess exceptional abilities in problem-solving and analytical reasoning.

Proficient in fostering clear communication and collaborative teamwork is required.

Demonstrates a proactive approach to continuous learning and adaptability in dynamic, high-pressure settings.

Proficiency in collaborating effectively with stakeholders across technical and non-technical domains is essential.

Preferred experience includes a bachelor’s degree in Computer Science, Engineering, or a related technical field, along with a minimum of three years of relevant work experience in software development. Candidates should possess strong proficiency in programming languages such as Java, Python, or C++, and familiarity with software development methodologies like Agile or DevOps is highly desirable. Exceptional problem-solving skills, attention to detail, and the ability to work collaboratively in a team environment are essential. Experience with cloud platforms, such as AWS or Azure, and knowledge of databases like SQL or NoSQL are advantageous. Strong communication skills and a passion for continuous learning and innovation are also preferred.

Internship or hands-on project exposure in artificial intelligence, machine learning, or data science is required.

Proficiency in disciplines including natural language processing, computer vision, or generative artificial intelligence is required.

Proficiency in tools such as ChatGPT, Git, and Docker, alongside foundational knowledge of Flops practices, is essential for this role.

Engagement in hackathons, contributions to open-source initiatives, or involvement in research projects is encouraged.

Qualifications

BA/BSc/HND

Experience Required

1 - 3 years

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