Senior AI and Team Leader Engineer
Accra
Hyrbrid
We are looking for a Senior AI Engineer & Team Lead to drive the design, development, and delivery of advanced AI and Generative AI solutions for our clients.
This role combines hands-on technical leadership, team leadership, and client-facing responsibility, ensuring high-quality delivery across multiple AI projects.
You will lead a team of AI engineers while actively collaborating with clients, project managers, and internal stakeholders to translate business needs into robust, scalable AI solutions.
- 6+ years of software engineering experience
- 4+ years of experience in AI, Machine Learning; building ML/AI systems
- 3+ years of experience in deploying ML/AI models into production environment
- Strong hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, scikit
learn)
- Practical experience with Generative AI / LLMs (OpenAI, Anthropic, or open-source models)
- Strong understanding of:
• Machine learning algorithms and evaluation methods
• LLMs and generative AI architectures
• Data pipelines and feature engineering
- Experience building and deploying AI systems into production environments
- Experience with MLOps pipelines and tools ( as Weights & Biases, AWS SageMaker ect’)
- Prior experience leading or mentoring engineers
- Strong communication skills, including client-facing technical discussions
- High sense of ownership, accountability, and delivery focus
- Experience with cloud platforms (AWS, GCP, Azure)
- Familiarity with vector databases, RAG architectures, and MLOps pipelines
- Experience in fast-paced startup or consultancy environments
- Senior leadership role with real technical and client ownership
- Opportunity to shape AI strategy, delivery standards, and team culture
- Exposure to diverse, real-world AI use cases
- Collaborative, growth-oriented environment
- Design, develop, and deploy AI and Generative AI solutions, including LLM-based systems
- Own technical architecture, model selection, and implementation decisions
- Build and scale solutions including ML pipelines, LLM-based systems, and computer vision
- Lead implementation of RAG architectures, vector databases, and retrieval strategies
- Ensure production readiness, scalability, performance, security and cost of AI systems
- Review code, models, and experiments to maintain high engineering standards
- Establish and enforce best practices in data processing, model evaluation, and MLOps
- Lead, mentor, and support a team of ML/AI engineers
- Set clear technical direction, priorities, and quality expectations
- Provide ongoing feedback, conduct technical reviews, and support skill development
- Foster a culture of ownership, accountability, and collaboration
- Support hiring, onboarding, and performance management of team members
- Serve as the technical point of contact for clients on AI-related topics
- Collaborate directly with clients to understand technical requirements and assess AI feasibility
- Present technical solutions, demos, and progress updates to client stakeholders
- Translate client business goals into clear technical approaches and implementation plans
- Set and manage expectations around AI capabilities, limitations, and delivery timelines
- Lead AI engineering efforts across multiple concurrent client projects
- Balance team capacity and skills across 3–5 simultaneous engagements
- Prioritize competing demands and clearly communicate technical trade-offs
-Ensure consistent quality and engineering standards across all client work
- Work closely with Project Managers to estimate effort, plan delivery, and manage technical
risks
- Stay current with AI and Generative AI advancements and assess practical applications
- Drive experimentation and adoption of new tools, frameworks, and methodologies
- Improve internal processes, documentation, and engineering workflow
