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BoomerangFXVerified Job Source

AI / NLP Engineer

Design and deploy NLP pipelines and RAG systems to power an autonomous patient engagement co-pilot. Develop HIPAA/PIPEDA-compliant AI features integrated into a .NET8 and ReactJS platform on Azure.

  • On-site
  • Mississauga, ON
  • Posted Aug 14, 2026
  • Apply by Sep 13, 2026
  • 1 position

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Job summary

Join us in a high-growth, entrepreneurial environment 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: $70,000- $80,000+10% Bonus. Location: This is a 5-day on-site role based in Mississauga, Ontario. Benefits: Comprehensive health, dental, and vision coverage Paid vacation to rest and recharge Free on-site parking for your convenience The Opportunity: 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 need an AI/NLP engineer who can turn large language models into reliable, compliant, production-grade healthcare software. What You’ll Build • 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 What You Bring • 4+ years of Python engineering or a CS degree with strong applied ML/NLP track record • Hands-on with LLMs, prompt engineering, RAG architectures, and vector databases (Pinecone, Azure AI Search, or equivalent) • Experience with Azure OpenAI Service, LangChain, 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 Bonus Points • Healthcare SaaS or healthtech experience • Experience with voice AI or conversational agents • Familiarity with .NET8 or React integration patterns for AI services Why BoomerangFX • 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

What you’ll do

Design and deploy NLP pipelines and RAG systems to power an autonomous patient engagement co-pilot. Develop HIPAA/PIPEDA-compliant AI features integrated into a .NET8 and ReactJS platform on Azure.

Requirements

Requires 4+ years of Python engineering or a CS degree with a strong ML/NLP track record. Must have hands-on experience with LLMs, vector databases, and orchestration frameworks like LangChain within an Azure environment.

Benefits

• Comprehensive health coverage • Dental coverage • Vision coverage • Paid vacation • Free on-site parking • Equity participation

Listed skills

  • Microsoft AzurePreferred
  • ReactPreferred
  • PythonPreferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Python
  • Natural Language Processing
  • Large Language Models
  • Prompt Engineering
  • RAG Architectures
  • Vector Databases
  • Azure OpenAI Service
  • LangChain
  • Microsoft Azure
  • HIPAA Compliance
  • PIPEDA Compliance
  • Clinical Intent Classification
  • .NET8
  • ReactJS

Job areas

  • Technology
  • Healthcare
  • Software
  • Engineering
  • Data & Analytics

Additional details

Minimum education
Bachelor’s degree
Minimum experience
2+ years
Apply by
Sep 13, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Associate
Application method
Direct apply is available