Lead AI & Software Engineer
Really Great Tech
Job Overview
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Job Description
Lead AI & Software Engineer
This is a full-time on-site role for a Lead AI & Software Engineer based in Accra. The role involves driving 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.
Qualifications
- 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, scikitlearn)
- 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
Key skills/competency
- AI Solution Design
- Generative AI Development
- Machine Learning Engineering
- Team Leadership
- Client Collaboration
- Python Programming
- ML Frameworks (PyTorch, TensorFlow)
- MLOps
- Production Deployment
- Data Engineering
How to Get Hired at Really Great Tech
- Research Really Great Tech's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight AI leadership, Python, ML frameworks, and Generative AI expertise for Really Great Tech.
- Showcase project impact: Detail your experience deploying AI systems into production and collaborating with clients.
- Prepare for technical depth: Master ML algorithms, LLMs, MLOps tools like AWS SageMaker, and data pipelines.
- Practice client-facing communication: Demonstrate your ability to translate complex technical concepts into business solutions.
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