T
Telus Digitalvia Ashby
Senior AI Engineer
Vancouver, BC$130K - $160K/yrPosted 1mo ago
ML EngineerSeniorFull-time
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About the Role
SENIOR AI ENGINEER (FUEL IX)
THE OPPORTUNITY
Fuel iX is seeking a proficient AI Engineer passionate about the technology, and ready to implement research concepts into tangible and production-ready solutions for our global clients. As a AI Engineer, you will be instrumental in applying and integrating generative AI models to enhance digital products, while also applying best coding, testing, and monitoring practices, making AI accessible and valuable in a real-world context.
RESPONSIBILITIES
- Apply your knowledge of AI systems and software engineering to develop solutions that directly address and resolve business problems.
- Partner with professionals from Data Science and Data Engineering to address complex technical challenges, ensuring that the latest and most effective Data & AI techniques are being utilized.
- Take ownership of implementing and optimizing applied AI components, ensuring they meet project needs with high complexity and scale.
- Navigate and manipulate generative AI models, including (but not limited to) LLMs, to create prompts and solutions tailored to specific use cases.
- Develop and incorporate AI solutions while adhering to industry best practices, including moderation, security, monitoring, and compliance standards.
- Understand and properly apply Responsible AI concepts in all the stages of the solution.
- Lead the charge in designing, measuring, and evaluating AI model outputs, developing standard and custom metrics to ensure alignment with business objectives.
- Translate AI research and PoCs into production-ready features, delivering robust and scalable AI components that integrate seamlessly with larger systems.
- Drive the selection and application of appropriate evaluation metrics, ensuring that AI solutions are robust, unbiased, and meet all necessary performance standards.
QUALIFICATIONS
- Demonstrable experience in applied AI, with a foundation in machine learning, NLP, LLMs, and statistical analysis.
- Strong understanding of the trade-offs between various generative AI models and the ability to choose the right model for specific use cases.
- Experience with data embeddings and vector databases, understanding the trade-off between available options, and leveraging it to optimize data ingestion.
- Experience in architecting and developing solutions that integrate generative AI with traditional software solutions with minimal to no oversight.
- Experience building and testing a server-side platform for API development and orchestration.
- Is proficient in the Python language and understands the trade-offs between multiple frameworks and patterns.
- Skilled in creating and adjusting prompts for complex AI systems to meet diverse project requirements.
- Familiarity with testing and evaluating AI systems using state-of-the-art methods and best practices.
- Hands-on experience deploying software on leading cloud platforms and utilizing AI tools like AWS Bedrock, Azure AI Services, and Vertex AI.
- Strong collaboration skills and ability to work alongside developers from multiple different areas.
- Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.
THE OPPORTUNITY
Fuel iX is seeking a proficient AI Engineer passionate about the technology, and ready to implement research concepts into tangible and production-ready solutions for our global clients. As a AI Engineer, you will be instrumental in applying and integrating generative AI models to enhance digital products, while also applying best coding, testing, and monitoring practices, making AI accessible and valuable in a real-world context.
RESPONSIBILITIES
- Apply your knowledge of AI systems and software engineering to develop solutions that directly address and resolve business problems.
- Partner with professionals from Data Science and Data Engineering to address complex technical challenges, ensuring that the latest and most effective Data & AI techniques are being utilized.
- Take ownership of implementing and optimizing applied AI components, ensuring they meet project needs with high complexity and scale.
- Navigate and manipulate generative AI models, including (but not limited to) LLMs, to create prompts and solutions tailored to specific use cases.
- Develop and incorporate AI solutions while adhering to industry best practices, including moderation, security, monitoring, and compliance standards.
- Understand and properly apply Responsible AI concepts in all the stages of the solution.
- Lead the charge in designing, measuring, and evaluating AI model outputs, developing standard and custom metrics to ensure alignment with business objectives.
- Translate AI research and PoCs into production-ready features, delivering robust and scalable AI components that integrate seamlessly with larger systems.
- Drive the selection and application of appropriate evaluation metrics, ensuring that AI solutions are robust, unbiased, and meet all necessary performance standards.
QUALIFICATIONS
- Demonstrable experience in applied AI, with a foundation in machine learning, NLP, LLMs, and statistical analysis.
- Strong understanding of the trade-offs between various generative AI models and the ability to choose the right model for specific use cases.
- Experience with data embeddings and vector databases, understanding the trade-off between available options, and leveraging it to optimize data ingestion.
- Experience in architecting and developing solutions that integrate generative AI with traditional software solutions with minimal to no oversight.
- Experience building and testing a server-side platform for API development and orchestration.
- Is proficient in the Python language and understands the trade-offs between multiple frameworks and patterns.
- Skilled in creating and adjusting prompts for complex AI systems to meet diverse project requirements.
- Familiarity with testing and evaluating AI systems using state-of-the-art methods and best practices.
- Hands-on experience deploying software on leading cloud platforms and utilizing AI tools like AWS Bedrock, Azure AI Services, and Vertex AI.
- Strong collaboration skills and ability to work alongside developers from multiple different areas.
- Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.
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