Senior AI Engineer
TELUS Digitalabout 3 hours ago
Responsibilities
- Integrate Generative AI models with external APIs and databases.
- Design, develop, 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.
- Ensure robust AI operations through observability and MLOps best practices.
- Collaborate with data experts for AI model selection and performance validation.
- Communicate complex AI concepts 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 trade-offs between generative AI models.
- 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 and deployment workflows.
- Practical knowledge of deploying AI solutions on cloud platforms.