AI Developer (Remote) Remote

Athena Institute of Business and Technology (AIBT) is building Africa’s next generation of business, policy, and tech leaders, through flexible, practical, and impact-driven learning. We are  recruiting to fill the position below:

 Job Title: AI Developer BrowseCareers

Location: Remote

Employment Type: Full-time Discover moreRecruiter training courseJob search tipsSearch JobsJob Description

We are seeking a skilled and innovative AI Developer to design, develop, implement, and maintain artificial intelligence solutions that improve business processes, automate tasks, and support data-driven decision-making. The successful candidate will be responsible for building AI-powered applications, integrating machine learning models and large language models (LLMs) into existing systems, and developing intelligent solutions that address real-world business challenges. The ideal candidate should have strong programming skills, a solid understanding of artificial intelligence and machine learning concepts, and practical experience developing, testing, deploying, and maintaining AI applications.

Design, develop, test, and deploy AI-powered applications and intelligent software solutions based on business requirements. Develop and integrate machine learning models for prediction, classification, recommendation, automation, and other business use cases. Build applications that leverage large language models (LLMs), generative AI, natural language processing (NLP), and other AI technologies. Integrate AI capabilities into existing enterprise applications, websites, APIs, databases, and business workflows. Develop and maintain AI-driven chatbots, virtual assistants, document processing tools, and automated customer support solutions. Prepare, clean, transform, and analyze datasets for model training, evaluation, and deployment. Design and implement Retrieval-Augmented Generation (RAG) solutions that enable AI applications to retrieve and use relevant information from organizational data sources. Work with AI frameworks, libraries, and APIs to develop reliable and scalable intelligent applications. Evaluate model performance, accuracy, reliability, latency, and cost, implementing improvements where necessary. Implement appropriate testing, monitoring, logging, and error-handling mechanisms for AI applications. Apply responsible AI principles, including data privacy, security, fairness, explainability, and mitigation of harmful or inaccurate outputs. Collaborate with software developers, data engineers, business analysts, and other stakeholders to identify opportunities for AI adoption. Document AI application architecture, development processes, model performance, and technical specifications. Research emerging AI technologies and recommend practical solutions that align with organizational objectives. Maintain and improve deployed AI solutions through regular updates, performance monitoring, and continuous optimization.

Bachelor's Degree in Computer Science, Artificial Intelligence, Software  Engineering, Data Science, Computer Engineering, Mathematics, Statistics, or a related discipline. Relevant professional training in machine learning, generative AI, deep learning, or AI application development will be an added advantage. Industry-recognized certifications in AI, machine learning, or cloud-based AI technologies are desirable. Equivalent practical experience, demonstrable technical expertise, and a strong portfolio of AI projects may be considered.

3–5 years of relevant experience in software development, AI engineering, machine learning, or a related technical role. Demonstrable experience developing, testing, and deploying AI-powered applications or machine learning solutions. Practical experience using Python and relevant AI or machine learning frameworks. Experience integrating AI models or LLM services into applications using APIs and SDKs. Familiarity with data preparation, model evaluation, application testing, and deployment processes. Experience building AI chatbots, intelligent assistants, RAG applications, recommendation systems, or comparable solutions will be an advantage. Demonstrated ability to translate business problems into scalable, maintainable, and measurable AI solutions. Experience collaborating with multidisciplinary teams and communicating technical concepts to non-technical stakeholders.

Strong programming skills in Python and familiarity with software development best practices. Good understanding of artificial intelligence, machine learning, deep learning, and relevant statistical concepts. Experience working with AI and machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. Knowledge of generative AI, large language models (LLMs), prompt engineering, and AI application development. Experience integrating AI models through APIs and software development kits (SDKs). Understanding of natural language processing (NLP), text processing, and information retrieval. Familiarity with Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search. Experience developing REST APIs and integrating AI solutions with existing software applications. Knowledge of SQL, database management, data preprocessing, and data validation. Understanding of model evaluation, performance optimization, testing, and deployment. Familiarity with Git, version control, debugging, and collaborative software development. Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Understanding of AI security, data privacy, access controls, and responsible AI practices. Strong analytical, critical-thinking, and problem-solving skills. Excellent communication skills and the ability to translate business requirements into practical AI solutions.

Experience with AI agent development, tool calling, and workflow orchestration. Familiarity with frameworks such as LangChain, LlamaIndex, or comparable AI development tools. Experience with Docker, Kubernetes, CI/CD pipelines, and cloud-based deployment. Knowledge of MLOps, model monitoring, model versioning, and automated deployment pipelines. Experience with fine-tuning or adapting pretrained models for specific business applications. Familiarity with multimodal AI involving text, images, audio, or video. Experience implementing AI solutions in enterprise environments. Relevant certifications in artificial intelligence, machine learning, cloud computing, or data science.

27th October, 2026. How to Apply

Interested and qualified candidates should submit their updated CV/resume highlighting relevant AI development experience, programming skills, technical certifications, and completed AI projects, to: [Email hidden - Login to reveal] using “AI Developer – (Your Name)” as the subject of your email.

Applicants are encouraged to include links to their GitHub repositories, technical portfolios, deployed AI applications, or project demonstrations that showcase their practical expertise. Candidates must ensure that submitted projects do not expose confidential information, proprietary code, or sensitive data belonging to previous employers or clients. Only shortlisted candidates will be contacted.