Senior AI Engineering Manager
About the role
The Senior AI Engineering Manager at Sri Lanka Design Center will lead a small, talented engineering team focused on building next-generation AI products. This hands-on leadership role involves mentoring engineers, solving complex technical problems, and transforming innovative ideas into production-quality software. The position requires approximately 5 years of professional software engineering experience and 2–4 years of practical AI experience, particularly with Local Large Language Models (LLMs) and modern AI tooling. The manager will drive engineering best practices, oversee scalable AI software architectures, and ensure high standards for software quality, testing, and security. The role is suited for candidates who thrive in startup environments and value speed, ownership, and continuous learning. The company offers a collaborative, high-performance culture and the opportunity to work with international teams.
Must have
- Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (Master's degree is a plus).
- Approximately 5 years of professional software engineering experience.
- 2–4 years of practical AI engineering experience.
- Previous experience leading or managing software engineering teams.
- Strong understanding of modern software architecture and distributed systems.
- Experience building cloud-based and on-premise software platforms.
- Excellent knowledge of software development life cycles and Agile methodologies.
- Strong debugging and problem-solving skills.
Technologies
- Agile
- Android
- AWS
- Azure
- CI/CD
- DevOps
- Docker
- Fine-Tuning
- GCP
- Git
- Hugging Face
- iOS
- JavaScript
- LLM
- Machine Learning
- Microservices
- Mistral
- Model Evaluation
- Ollama
- Prompt Engineering
- Python
- RAG
- REST
- SQL
- TypeScript
- Vector Databases
- Windows
Highlights
Remote work is preferred, but candidates should be within reasonable distance of Colombo, Sri Lanka. The role requires excellent spoken and written English. A bachelor's degree in Computer Science or related field is required; a master's degree is a plus.
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