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We are currently seeking a Systems Integration Specialist Advisor to join our team in Toronto, Ontario (CA-ON), Canada (CA). Day to Day job Duties: (what this person will do on a daily/weekly basis) We are seeking an Senior AI Engineer to join our team. The ideal candidate will have a strong background in implementing AI models, analyzing and improving existing AI architectures, and providing expertise on AI capabilities and systems. Person will work closely with our AI team, software engineers, and business stakeholders to create AI-driven solutions that meet our company’s business needs and goals.
Job Responsibility:
Designing, developing, and implementing AI models
Analyzing and improving existing AI architectures
Researching and implementing new AI technologies and methodologies
Working with data scientists and other stakeholders to understand business needs and goals
Ensuring the AI systems are aligned with the company’s business strategy
Providing expertise and guidance on AI capabilities and systems
Ensuring that all AI initiatives follow compliance and regulatory requirements
Collaborating with other teams to implement and improve AI functionality
build the agent from scratch using product requirements
This includes developing the agent, testing different scenarios including knowledge retrieval and support journeys, and writing simulation tests
This can (should) also include interfacing
Requirements:
Minimum 3 to 5 years of experience AI and related domains
Minimum 3 to 5 years of experience conceptualizing and architecting the target environment for AI solutions
Minimum 3 to 5 years of experience supporting professional services sales cycle including proposal development, RFP responses, and account expansion initiatives
Degree: Bachelors in Computer Science or equivalent work experience
5+ years experience in hands-on software development of highly technical products
Past experience in Software Development or other similar hands-on development roles at or above the level of Senior Software Engineer
Experience crafting and tailoring a message for potential customers, including executives
Degree in Computer Science or related field, or equivalent professional experience
AI-related experience (experience developing code based AI agents such as conversational AI agents a plus)
Experience with React, Typescript, and Go
Past roles that interface with end customers to influence software development
Engineers working on building AI agents should be self-sufficient engineers at a senior level
They should be completely comfortable with normal software development lifecycles and be able to write code independently, including building components, integrating with APIs, and testing/deployment
The AI agent is built programmatically using code
It is explicitly NOT a no-code/low-code application
Everything including setup, permissions, version control, development, testing, and deployment are done via extensive coding workflows
Engineers should be highly experienced in ReactJS and Typescript, comfortable with VCS using Git, and other standard engineering workflows
Should have a working understanding of LLMs and writing API integrations in Typescript
Engineers should have a comprehensive understanding of React JS, especially core concepts/philosophies of developing with React and front-end frameworks in general
The Agent SDK has some important distinctions from React, but understanding of React development lifecycle and component lifecycle will enable engineers to grasp these differences and develop against them
Most engineers will primarily need to know React (Intermedia to Advanced)