The Opportunity
BoomerangFX is the fastest-growing AI-powered practice management platform in private-pay healthcare, operating across 6+ countries. We are building the next generation of clinical AI, starting with Auvia, our autonomous patient engagement co-pilot.
We're looking for an AI Tech Lead who wants to do more than ship models. This is a chance to lead and mentor a high-performing AI engineering team, shape our AI architecture from the ground up, and see your work go live in production across a global healthcare platform, all while working directly with leadership on where AI takes the business next.
If you thrive at the intersection of technology, consulting, and innovation, and want ownership over real, high-impact AI systems rather than incremental experiments, this role is built for you.
Location: 5 days on-site, Mississauga, Ontario
Immediate joiners welcome
What You'll Do
AI Solution Development
- Design, build, and deploy scalable AI and Machine Learning solutions
- Develop production-grade applications using LLMs, NLP, Generative AI, and intelligent automation
- Architect enterprise AI solutions that solve real business challenges
- Build scalable, maintainable AI workflows and services
Generative AI & LLM Applications
- Build and optimize solutions using OpenAI, Anthropic, and Azure OpenAI
- Design and implement Retrieval-Augmented Generation (RAG) frameworks
- Develop conversational AI, chatbot, and AI-agent solutions
Azure AI & Cloud Architecture
- Deploy AI applications within Microsoft Azure environments
- Work with Azure OpenAI, Azure AI Services, Azure Functions, Azure SQL, Cosmos DB, and related technologies
Consulting & Stakeholder Engagement
- Partner with cross-functional teams to identify AI opportunities and define solution strategies
- Translate business requirements into technical AI solutions
- Present recommendations, prototypes, and solution designs to stakeholders
Optimization & Continuous Improvement
- Monitor, evaluate, and improve AI model performance
- Establish testing, validation, and evaluation frameworks
- Support AI governance, quality assurance, and reliability initiatives
What You Bring
- 8+ years of experience in Artificial Intelligence, Machine Learning, Software Development, or AI Consulting
- 5+ years of hands-on Python development experience
- 2+ years building production-grade Generative AI, NLP, chatbot, or LLM-based applications
- 3+ years working with Microsoft Azure, including Azure OpenAI and Azure AI Services
- 2-3+ years of Canadian work experience
- Hands-on experience with OpenAI, Anthropic, LangChain, LlamaIndex, RAG, prompt engineering, vector databases, AI agents, and workflow automation
- Track record of taking AI solutions from proof-of-concept to production
- Strong problem-solving, communication, and stakeholder management skills
Education
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Information Technology, or a related technical field.
Nice to Have
- Experience in Healthcare SaaS or Healthcare Technology
- Experience building enterprise-scale AI products and intelligent automation solutions
Compensation & Benefits
- Salary: $80,000-$90,000 + 10% Bonus
- Stock Option Plan eligibility after 6 months
- Comprehensive Health, Dental & Vision Coverage
- Paid Vacation
- Free On-Site Parking
- Professional Development Opportunities
- Direct exposure to cutting-edge AI technologies and enterprise-scale projects
Pay: $80,000.00-$90,000.00 per year
Benefits:
- Dental care
- Extended health care
- On-site parking
- Stock options
- Vision care
Ability to commute/relocate:
- Mississauga, ON L5N 7J7: reliably commute or plan to relocate before starting work (required)
Application question(s):
- How many years of hands-on experience with OpenAI, Anthropic, LangChain, LlamaIndex, RAG, prompt engineering, vector databases, AI agents, and workflow automation?
Experience:
- Azure AI Services: 3 years (required)
- Python: 5 years (required)
- AI/ML: 8 years (required)
- Chatbot/LLM: 2 years (required)
- Team management: 3 years (required)
Work Location: In person
