Senior AI Engineer
TELUS Digitalabout 4 hours ago
Responsibilities
- Integrate Generative AI models with external APIs and databases.
- Design and deploy AI workflows and Agentic AI solutions.
- Implement and optimize multi-agent systems using standards like Model Context Protocol.
- Develop evaluation frameworks for agent autonomy and performance.
- Apply observability and MLOps best practices for AI agent operations.
- Collaborate with data experts for AI model selection and performance validation.
- Communicate AI concepts effectively to technical and non-technical stakeholders.
Requirements
- Proven experience in designing and deploying AI architectures.
- Strong background in software platforms like Python/Django and Java/Spring.
- Understanding of generative AI models and their trade-offs.
- Hands-on experience with function-calling and tools integration into LLM models.
- Expertise in data embeddings and vector databases.
- Experience with CI/CD tools for development workflows.
- Practical knowledge of deploying AI solutions on cloud platforms.
Tech Stack
Categories
AI & MLData Engineering