Manager, NLP Engineering & AI

Join us in a high-growth, entrepreneurial workplace where you can make a real impact as we disrupt the healthcare industry and shape the future of practice management. If you’re ready to challenge the ordinary, we want you on our team.

Salary Range: $80,000- $90,000 +15% Bonus.

Equity: Eligible to participate in BoomerangFX Stock Option Plan after 6 months.

Location: This is a 5-day on‑site role based in Mississauga, Ontario.

• Comprehensive health, dental, and vision coverage
• Paid vacation to rest and recharge
• Free on‑site parking for your convenience
• Access to our on‑site gym and wellness facilities

BoomerangFX is the fastest-growing AI-powered practice management platform in private-pay healthcare, operating across 6+ countries. We’re building the next generation of clinical AI — starting with Auvia, our autonomous patient engagement co‑pilot — and we’re looking for an AI/NLP Engineering Manager who can turn large language models into reliable, compliant, production-grade healthcare software while leading and mentoring a high‑performing AI engineering team in a fast-paced, innovation-driven environment.

• Lead and mentor a team of AI and software engineers, fostering a high-performance, collaborative engineering culture focused on innovation and execution.
• Drive technical planning, team development, and delivery management while partnering with cross-functional stakeholders to align AI initiatives with business goals.
• Design and deploy NLP pipelines for patient conversation, clinical intent classification, and autonomous booking workflows.
• Build and optimize RAG (Retrieval-Augmented Generation) systems grounded in clinic-specific knowledge bases.
• Fine-tune and prompt-engineer OpenAI/Azure OpenAI models within our Microsoft ecosystem.
• Develop HIPAA/PIPEDA-compliant AI features integrated into our .NET8 / ReactJS platform on Azure.
• Collaborate with product and engineering to ship AI that measurably improves clinic conversion and patient outcomes.

• 5+ years of Python engineering or a CS degree with strong applied ML/NLP track record.
• 3–5 years of experience managing and leading software development or AI engineering teams.
• Hands‑on with LLMs, prompt engineering, RAG architectures, and vector databases (Pinecone, Azure AI Search, or equivalent).
• Experience with Azure OpenAI Service, Lang Chain, or similar orchestration frameworks.
• Comfort working within a Microsoft Azure cloud environment.
• Strong understanding of HIPAA/PIPEDA data handling — or fast learner in regulated environments.
• Production mindset — you’ve shipped models, not just notebooks.

• Healthcare SaaS or healthtech experience.
• Experience with voice AI or conversational agents.
• Familiarity with .NET8 or React integration patterns for AI services.

• Shipping real AI products used by 10,000+ practices globally.
• Fast-moving, execution-focused team.
• Competitive compensation + equity participation.
• Direct impact on product roadmap and AI strategy.