Comprehensive analysis of Artificial Intelligence Engineer (AI, LLM, ML, Prompt, RAG) position at Confidential Company.
Difficulty level: Hard.
Technical skills required: AI/ML, LLM (Large Language Models), Prompt Engineering, RAG (Retrieval Augmented Generation), Python, TypeScript/Node.js/JavaScript, REST/GraphQL, Docker, Kubernetes, GitHub Actions, Twilio, LiveKit, STT/TTS (Speech-to-Text/Text-to-Speech), Aurora Serverless (MySQL), Redshift, S3/Glue, Nuvei/Paragon payments, Salesforce/HubSpot/Zapier, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, CI/CD, Observability (logs, metrics, traces, alerts), AuthN/AuthZ, Privacy and secure PII handling.
Benefits: ***is striving to be the #1 Software for Fitness & Wellness Businesses. They offer a cloud-based business management software **(B2B SaaS)** that is used by leading fitness gyms, yoga studios, and wellness centers. The platform is trusted by more than **5,000** businesses and has more than 15 million users. From a bootstrap start-up to one of North America’s **fastest-growing** **SaaS** companies, the company helps entrepreneurs grow, manage, and streamline their businesses to drive more revenue with a reliable, intuitive software. The company is experiencing dramatic growth and is building a suite of four new **AI modules**. Company is headquartered in Toronto, Ontario, Canada.**Tech Stack -**LLMs: OpenAI, Gemini • Voice: Twilio, LiveKit, STT/TTS • Backend: Python, Node/TypeScript, REST/GraphQL • Data: Aurora Serverless (MySQL), Redshift, S3/Glue • Infrast: Docker, Kubernetes, GitHub Actions • Mess’g: Twilio, SendGrid, FCM, SES • Integrations: Nuvei/Paragon payments, Salesforce/HubSpot/Zapier.The company is a leading business management platform for health and wellness brands. We’re building **Isaac Ai**, a suite of assistants that streamline client communications, bookings & payments, growth marketing, and owner coaching. This Ai Engineer will build production Ai features across four modules - Front Desk Agent, Business Coach, Sales & Marketing Suite, and Omnichannel Message Center. A core part of the role is **prompt engineering**: **designing reusable prompt templates and tool schemas**, grounding with business data, and running automated evaluations to deliver low-latency, observable microservices connected to real APIs (booking, calendars, payments, messaging, CRM).• Role will maintain a **versioned prompt library** with style guides, safety policies, and test coverage., Run regular prompt reviews/experiments; pair with Product/Design/Data; document APIs/flows and share reusable prompt/policy patterns.**Key Responsibilities**• **Design & ship Ai features** across modules; translate user journeys into secure, low-latency microservices backed by an LLM., **Prompt engineering**: develop prompt templates (zero/one/few-shot), function/tool calling schemas (**JSON**), and guardrails/policies for bookings, FAQs, and safe human handoff; version prompts and track telemetry (win rate, latency, cost)., **Conduct experiments** to evaluate model performance, benchmark across **Gemini, GPT, Claude, LLaMA**, and other **LLMs**, and recommend best-fit solutions., **Voice & telephony**: integrate **STT/TTS**and **Twilio/LiveKit** with barge-in, interruption handling, and dialogue-state recovery., **Booking & payments**: connect to the WellnessLiving engine, calendar sync, conflict/resourcing logic, and **Nuvei/Paragon** flows with retries and failure recovery., **Insights & growth**: ship Business Coach KPIs and **NL Q&A**; add predictive/“what-if” scenarios and personalized recommendations., **Marketing automation**: segmentation, AI content, A/B tests, send-time optimization, lead scoring; close the loop with engagement signals to tune prompts/models., **Omnichannel inbox**: unify **SMS/email/in-app/WhatsApp/voice/social** with intent/sentiment routing and in-thread booking/payment; meet audit/SLA targets., **Engineering excellence**: write tested **Python/TypeScript; Dockerize;** add logs/metrics/traces/alerts; maintain runbooks/postmortems and participate in on-call.**Minimum Qualifications**• Bachelor’s degree in Computer Science, Data Science, AI, or related field., 3+ years building **ML and Ai-enabled apps** with production**LLM** – Large Language Model., Proficiency in **Python**and one of **TypeScript/Node.js/JavaScript; REST/GraphQL** experience., Demonstrated prompt-engineering experience, tool/function calling, structured outputs (**JSON**), **retrieval/RAG** prompting, **safety/guardrail** design, and **A/B or golden**-set evaluation., Proficiency with frameworks such as **PyTorch, TensorFlow, Hugging Face Transformers, LangChain,** or **LlamaIndex.**, Familiar with **Docker, Git, CI/CD,** cloud services; comfortable adding observability and tests., Solid **authN/authZ, privacy**, and secure PII handling; benchmarking for latency/concurrency/error recovery., Must be Canadian Citizen or Canadian Permanent Resident., REMOTE, but we can NOT hire anyone living in Quebec..
