• Application Deadline:
• Position: Senior Software / AI Engineer



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 7 - 10 years



• Location Lagos




• Job Field ICT / Computer 
  
  

Job Responsibilities

• Define and drive the objective and roadmap for AI software engineering in alignment with business goals.


• Design, implement, and manage software programs with a focus on AI applications and next-generation large language models.


• Lead and scale high-performing engineering teams focused on AI/ML, software development, DevOps, and MLOps.


• Ensure best practices in software engineering, including coding standards, architecture, testing, and documentation.


• Develop and deploy advanced machine learning models, including multimodal AI systems and autonomous AI agents.


• Work with massive sparse expert models and implement longer contextual memory techniques for improved AI performance.


• Implement natural language processing (NLP) advancements for enhanced user experiences.


• Build and optimize AI models for performance, scalability, and efficiency using cloud based resources.


• Implement explainable AI (XAI) practices to ensure transparency and ethical AI development.


• Develop small language models (SLMs) for edge computing and specialized applications


• Create and implement GenAI observability tools and cybersecurity solutions.


• Collaborate with cross-functional teams to integrate AI solutions into existing products


• Stay updated with emerging AI trends including any-to-any multimodal AI, edge AI, and humanoid robotics.


• Participate in data augmentation techniques to improve AI training efficiency Job

Requirements

Education / Business Degree:

• Bachelor’s Degree in Computer Science, Software Engineering, or a related field.

Work Experience:

• 7 - 10 years of relevant working experience in software engineering, AI/ML and 4+ years in senior engineering leadership roles.

Training / Certificates:

• Certified JavaScript Developer.


• Go Lang Developer Certification.


• Microsoft Certified: Azure Solutions Architect Expert.


• AWS Certified Solutions Architect – Associate/Professional.


• Dynamic Programming Algorithms Specialization.


• MongoDB Certified Developer Associate.


• Microsoft Certified: Azure AI Engineer Associate.


• DeepLearning.AI – Large Language Models with Transformers.


• Emotional Intelligence for Leaders.


• People Management Skills.


• Stakeholder Engagement & Management.


• Strategic Communication for Leaders.


• Agile Leadership Training.

Competencies, Skills & Attributes:

Knowledge:

• Knowledge of machine learning algorithms: linear/logistic regression, decision trees, random forests, SVMs, kmeans, etc.


• Knowledge of large language models (LLMs): pretraining, fine-tuning, prompt engineering.


• In-depth understanding of software architecture and system design. • Strong knowledge of RESTful API design and integration.


• Knowledge of DevOps pipelines and container security.


• Understanding of SQL and NoSQL databases: MySQL, MongoDB, Redis.


• Familiarity with ethical principles in AI: fairness, bias, accountability, transparency.


• Knowledge of AI use cases across industries (e.g., NLP chatbots, recommendation engines, fraud detection, computer vision).


• Knowledge of people management and mentoring best practices.

Skills:

• Proficiency in programming languages: Must Have C++ or JavaScript & Rust; Good to have – GoLang.


• Cloud expertise: AWS, Azure, Git and DevOps.


• Strong knowledge of Microservice Architecture, RabbitMQ, and Dynamic Programming.


• Database experience: MySQL, MongoDB, and Redis • Understanding of full-stack development and software engineering concepts.


• Commitment to fostering a culture of collaboration, accountability, and continuous learning.


• Experience with large language model development and fine-tuning.


• Knowledge of multimodal AI systems and autonomous agent development.


• Excellent communication and stakeholder management skills.


• Strategic thinker with the ability to translate business needs into technical solutions.


• Passion for AI ethics, innovation, and building technology that impacts lives.


• Proven ability to lead and mentor high performing engineering teams.


• Strong decision-making and problem-solving capabilities.


• Ability to align technical initiatives with organizational goals


• Experience managing through change and driving transformation


• Commitment to fostering a culture of collaboration, accountability, and continuous learning

Behavioural Attributes:

• Able to connect engineering initiatives to broader business goals.


• Constantly seeks new and better ways to apply AI and software to solve problems.


• Takes full responsibility for the success or failure of initiatives.


• Follows through on commitments and holds self and team to high standards.


• Open to others’ ideas, promotes team input, and fosters collective success.


• Can communicate complex technical concepts in a clear and accessible way.


• Willing to experiment, iterate, and embrace cutting-edge technologies.


• Take full responsibility for the success or failure of initiatives.


• Follows through on commitments and holds self and team to high standards.


• Follows through on commitments and holds self and team to high standards.


• Works effectively with cross-functional teams (Product, Data, Security, Business).


• Provides clear direction, mentorship, and supports team growth.


• Responds constructively to change and leads others through uncertainty.


• Open to others’ ideas, promotes team input, and fosters collective success.