Senior AI Engineer, Ethiopia

Tasks

• Benchmark and evaluate AI models
• Build Agentic AI workflows
• Build multimodal voice interfaces
• Create graph RAG pipelines
• Create retrieval-augmented generation pipelines
• Deploy and optimize LLMs in cloud and on premise environments
• Design AI powered digital health solutions
• Design CI CD pipelines for model deployment
• Develop backend APIs and services
• Develop multilingual AI systems
• Develop offline first AI functionality
• Fine-tune and evaluate machine learning models
• Implement AI monitoring logging and observability
• Implement prompt engineering workflows
• Manage vector databases embeddings and GPU resources
• Provide technical mentorship and documentation
• Use infrastructure as code for AI systems

Perks/Benefits

• N/A

Skills/Tech-stack

API Development | AWS | Agentic AI | Azure | CI/CD | Deep learning | DevOps | Docker | Embeddings | Fine Tuning | GCP | GitHub Actions | Graph RAG | Hugging Face | Infrastructure as Code | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | Logging | Machine Learning | Model Evaluation | Model Fine-tuning | Monitoring | Multimodal AI | Observability | Orchestration | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Speech Recognition | TensorFlow | Text to Speech | Vector Databases | Voice Interfaces | “as-code”