Senior SDET automating testing, deployment, and validation for Akamai’s distributed cloud and edge platform. Building reliable test frameworks for microservices and platform services.
TD
Intermediate Software Engineer – Artificial Intelligence, AI
Posted 5 months ago
About the role
- Intermediate Software Engineer specializing in AI for Tucows Domains, designing innovative features and solutions for domain services. Collaborating with engineers and business functions to implement AI-driven systems.
Responsibilities
- Design and build AI-driven features for our domain services platform using Python and Golang.
- Integrate and fine-tune open-source models with cutting-edge architectures via tools like Ollama.
- Research, evaluate, and implement emerging AI technologies that align with our vision for smarter, more intuitive products and services.
- Collaborate with internal stakeholders and fellow engineers to rapidly prototype and iterate on machine learning and LLM-based features.
- Contribute to a modern AI development stack, ensuring scalability, performance, and ethical usage of models.
- Actively participate in the open-source ecosystem and bring relevant tools and techniques back to the team.
- Implement software solutions with “intelligent” features, helping teams automate tedious and repetitive tasks.
Requirements
- Bachelor’s degree in software engineering, computer science, or related field
- 3+ years of professional software engineering experience in production environments.
- Solid understanding of modern AI/ML/LLM concepts, particularly transformer-based and open-source models.
- Hands-on experience with frameworks such as TensorFlow, Hugging Face, or similar.
- Experience using open-source models (e.g., LLaMA, Mistral, Mixtral) in real-world applications.
- Strong foundation in software design principles and service-oriented architecture.
- Experience contributing to scalable system and component-level architecture.
- Ability to design and build RESTful APIs for model serving and AI-enabled workflows.
- Understanding of API best practices, including versioning, security, and error handling.
- Working knowledge of relational and/or SQL databases and data modeling for AI use cases.
- Experience with containerization and cloud-native deployment of AI services.
- Strong collaboration, communication skills, and enthusiasm for emerging AI technologies.
Benefits
- Fair compensation
- Generous benefits
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