Lead Agentic AI Design & Prototyping workshops for member organizations at Info - Tech, focusing on AI implementation. Collaborate with teams to prototype AI systems and provide advisory support.
About the role
- Engineer developing AI-powered cloud-native software solutions for clients at Softchoice. Focusing on cloud, data, and innovative software development.
Responsibilities
- Delivering excellence: Developing, testing and managing cloud native and 3rd party tooling and AI-on-cloud technologies, delivered through code, templates and scripts to ensure top-quality client experiences, delivered with consistency and efficiency.
- Design and architect world-class technical solutions leveraging state-of-the-art cloud technologies and development tools
- Set and uphold high standards for technical architectures and systems design, and operational excellence
- Create innovative solutions utilizing AI and LLM technologies to solve complex business problems
- Develop reusable solution components and comprehensive documentation
- Working with software developers, application architects, QA engineers, and operations teams to deliver on – and exceed – client expectations.
- Team up with SME’s, practice leads and vendors to fine tune our strategy and overcome obstacles to adoption at every step.
- Working onsite with customers as a consultant to explore their needs to provide a compelling vision forward.
- Engage with sales and pre-sales teams to support the prospecting of opportunities with existing and new customers to Softchoice.
Requirements
- 1+ years of experience in a technical capacity
- Good understanding and experience with Agile methodologies applied to AI and Software Engineering
- Proficient in Python and frameworks such as Flask, langchain, llamaindex, and FastAPI
- Experience with Azure OpenAI Service and working with open-source LLMs
- Experience building Gen AI applications
- Develop and integrate RESTful APIs, focusing on Azure API management
- Knowledge of containerization/orchestration (Docker, Kubernetes) in Azure
- Experience with Microsoft PromptFlow or RAGs evaluation matrix
- Expertise in writing and tuning prompts for LLMs
- Work with search solutions (Azure AI search)
- Experience with CI/CD solutions
- Experience with CI/CD pipelines (Azure DevOps, Jenkins, CircleCI, GitLab Actions)
- Basic certification in AI (AI900) or ML (GCP ML Engineer, AWS ML Engineer)
- Cloud certification (AWS, Azure, Google)
- Ability to grasp high-level technical concepts quickly.
Benefits
- Medical and Dental Care
- Employee & Family Assistance Program
- RRSP/DPSP Retirement Savings Plan with Company Matching
- Life and Disability Insurance
- Vacation and Sick Leave
- Holidays
- Parental Leave
- Volunteer Days
- Bereavement Leave
- Employee Discount Program
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Support Team Lead managing the transition of AI support operations at JLL. Leading global teams to implement agentic workflows for AI - assisted support functions.
AI Agent Engineer developing state - of - the - art AI Agents at Cresta for contact centers. Collaborating with teams to deploy solutions that enhance customer insights and workflows.
Project Manager II supporting the implementation of AI solutions in corporate communications at TELUS. Driving transformation through strategic projects and enhancing digital ecosystems.
Operational Enablement Specialist responsible for designing and maintaining learning experiences for human teams and AI systems at AutoFi. Collaborating across departments to enhance training and operational effectiveness.
AI Website Specialist Lead at WellnessLiving managing customer accounts and team, focusing on building quality websites and ensuring customer satisfaction.
Solutions Director at Nearform crafting AI solutions for enterprise clients. Collaborating with teams to deliver measurable impact utilizing advanced technologies.
AI Trainer assessing Japanese AI models and contributing to their improvement. Working remotely with flexible tasks for Prolific, a data collection platform.
AI Tutor specializing in multilingual audio capabilities at xAI. Training Grok to excel in voice interactions and speech recognition across diverse languages and cultures.
AI Trainer role for Medical Doctors evaluating and training AI models at Prolific with flexible hours and competitive pay rates.