Senior AI Engineer at Guidepoint

<p><span style="font-size: 10pt;"><strong>Overview:</strong></span></p> <p><span style="font-size: 10pt;">Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale — combining real-time voice, LLM-driven orchestration, and retrieval over large proprietary datasets.</span></p> <p><span style="font-size: 10pt;">You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad ownership, close to product and leadership.</span></p> <p><span style="font-size: 10pt;"><strong>This role is hybrid in our Toronto Office </strong></span></p> <p><span style="font-size: 10pt;"><strong>What You'll Do:</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Real-time conversational AI: </strong>voice- and chat-based agents with low-latency requirements, built on modern telephony and real-time media infrastructure.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>LLM orchestration: </strong>agentic systems that pursue goals over multi-turn conversations, with hard behavioral guarantees enforced in code — not just prompts.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Multi-channel session management: </strong>stateful user interactions that move seamlessly across channels.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Retrieval and grounding: </strong>connecting LLM systems to large internal knowledge assets, with structured data flowing back.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Evaluation infrastructure: </strong>measuring conversational quality against human baselines and gating rollouts on metrics, not vibes.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Own services end-to-end: design, implementation, deployment (Kubernetes/Azure), and operations, including latency-sensitive real-time workloads.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Design and tune LLM pipelines: context engineering, structured outputs, model selection, cost/latency tradeoffs across vendors.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Build the eval loop and treat quality as a number: define metrics, run experiments, gate releases on them.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Integrate third-party AI and voice vendors behind clean abstractions so providers stay swappable.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Partner with product and compliance stakeholders to encode domain rules into the system.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Set engineering patterns for a growing team: code review, observability, incident habits.</span></li> </ul> <p><span style="font-size: 10pt;"><strong>What You Have:</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">6+ years of software engineering, with 2+ years building LLM-powered products in production (not notebooks): orchestration, RAG/grounding, structured outputs, eval-driven iteration.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Strong TypeScript or Python; comfortable working across both.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Real-time or streaming systems experience: WebSockets, WebRTC, audio pipelines, or comparable low-latency work.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Cloud-native production experience: containers, Kubernetes, CI/CD, observability. Azure a plus.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Familiarity with agent/LLM frameworks such as LangGraph, LangChain, or CrewAI — hands-on exposure is enough; we care that you know the landscape and when plain code beats a framework.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Working familiarity with vector databases and embedding-based retrieval.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Pragmatic product judgment: you scope prototypes, kill weak approaches with data, and ship.</span></li> </ul> <p><span style="font-size: 10pt;"><strong>Nice-to-have:</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Voice AI: telephony platforms, conversational agent frameworks, STT/TTS, turn-taking/VAD.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Knowledge graphs or large-scale search/retrieval systems.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Regulated or compliance-sensitive domains (healthcare, finance).</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Eval harnesses or LLM-as-judge systems.</span></li> </ul> <p><span style="font-size: 10pt;"><strong>What We Offer:</strong>&nbsp;</span></p> <p><span style="font-size: 10pt;">The annual base salary range for this position is&nbsp;<strong>175,000-210,000 CAD</strong>. Additionally, this position is eligible for an annual discretionary bonus based on performance.</span></p> <p><span style="font-size: 10pt;"><strong>You will also be eligible for the following benefits:</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Paid time off&nbsp;&nbsp;</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Comprehensive benefits plan&nbsp;&nbsp;</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Company RRSP match&nbsp;&nbsp;</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Development opportunities through the LinkedIn Learning platform&nbsp;</span></li> </ul> <p><span style="font-size: 10pt;"><strong>About Guidepoint:</strong>&nbsp;</span></p> <p><span style="font-size: 10pt;">Guidepoint powers end-to-end research workflows for the world’s best research teams.</span></p> <p><span style="font-size: 10pt;">Backed by a global network of more than<strong>&nbsp;2 million experts and over 1,600 employees,</strong>&nbsp;Guidepoint delivers real-time access to expertise, primary research, and actionable knowledge that help organizations make informed decisions. Through consultations, surveys, events, proprietary content, and AI-enabled tools, we support every stage of the decision-making process—from developing hypotheses and gathering insights to validating assumptions and building conviction for critical decisions.</span></p> <p><span style="font-size: 10pt;">At Guidepoint, our success relies on the diversity of our employees, experts, and clients, which enables us to foster meaningful connections and a broad range of perspectives. We are committed to creating an inclusive and welcoming environment where individuals of all backgrounds, identities, and experiences can contribute and succeed.</span></p> <p><span style="font-size: 10pt;">#LI-LG1</span></p> <p><span style="font-size: 10pt;">#LI-HYBRID</span></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>This job posting is for an existing vacancy.&nbsp; The salary offered will be based on the successful candidate’s skills, experience, qualifications, and location.</p></div><div class="title">Compensation</div><div class="pay-range"><span>$175,000</span><span class="divider">&mdash;</span><span>$210,000 CAD</span></div></div></div>