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About the Role

Guidepoint seeks an experienced Data/AI Engineer to join the Toronto-based AI team, focusing on building modern data infrastructure for advanced analytics and responsible AI development. This role is key to developing cutting-edge Generative AI and analytical capabilities for Guidepoint’s Next-Gen research enablement platform and data products. You will lead the development of Generative AI systems, including LLM applications and research agents, integrating responsible AI and MLOps best practices. The Senior AI/ML Engineer will contribute to scalable AI/ML capabilities using Databricks and other advanced tools across Guidepoint’s products.

Responsibilities

Architect and build scalable, low-latency backend services and APIs for Generative AI features, including RAG pipelines and agentic systems.
Own the end-to-end lifecycle of AI-powered applications, from system design and development to deployment, monitoring, and optimization.
Optimize RAG pipelines through techniques like retrieval optimization, re-rankers, advanced chunking, and prompt engineering for hallucination reduction.
Engineer solutions that integrate LLMs with proprietary knowledge repositories, external APIs, and real-time data streams.
Collaborate to establish and implement best practices for LLMOps, including automated evaluation, AI observability, and system monitoring.
Evaluate and apply advanced prompt engineering methods and model interaction techniques to optimize LLM performance and safety.
Provide technical leadership through code reviews, mentorship, and design discussions.
Partner with stakeholders to translate user needs into technical requirements and shape AI product offerings.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related technical field with 6+ years of professional experience, or Master’s degree with 4+ years of experience in backend software engineering and Generative AI.
Proven track record of designing, building, and scaling distributed, production-grade systems.
Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio).
Proficiency in designing RESTful APIs, microservices, and managing the complete operational lifecycle, including testing, CI/CD, observability, monitoring, alerting, high uptime, and zero-downtime deployments.
Hands-on experience deploying and managing applications on Azure (preferred), AWS, or GCP using Docker and Kubernetes.
2+ years of experience building applications leveraging LLMs from providers like OpenAI, Anthropic, or Google Gemini.
Direct experience with LLM patterns such as RAG, hybrid search using vector databases, multi-agent AI systems with tool calls, and prompt engineering.
Experience designing and implementing robust evaluation frameworks for LLM-based systems.
Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark).
Practical experience with libraries and frameworks like LangChain or LlamaIndex.
Demonstrated ability to lead complex technical projects and foster engineer growth.

Skills

Python
FastAPI
Flask
asyncio
RESTful APIs
Microservices
CI/CD
Observability
Monitoring
Alerting
Docker
Kubernetes
Helm
Azure
AWS
GCP
OpenAI
Anthropic
Google Gemini
Retrieval-Augmented Generation (RAG)
Vector Databases
Pinecone
Elasticsearch
Multi-agent AI systems
Tool calls
Prompt Engineering
MLflow
Databricks
Apache Spark
LangChain
LlamaIndex

Location

Toronto, Canada

Work Type

Hybrid

Experience Level

6+ years of professional experience (Bachelor's degree)
4+ years of professional experience (Master's degree)
2+ years of experience with LLMs

Education Level

Bachelor’s degree in Computer Science, Engineering, or a related technical field
Master’s degree

Salary/Compensations

$135,000 - $210,000 CAD

Benefits

Paid Time Off
Comprehensive benefits plan
Company RRSP Match
Development opportunities through the LinkedIn Learning platform

About the Company

Guidepoint is a leading research enablement platform designed to advance understanding and empower client decision-making.
The company utilizes innovative technology, real-time data, and expertise to help clients turn answers into action.
Backed by a network of nearly 1.75 million experts and 1,600 employees worldwide, Guidepoint informs leading organizations' research by delivering on-demand intelligence.
Guidepoint helps companies and investors navigate information to make it more useful and powerful.
Guidepoint's success relies on the diversity of its employees, advisors, and client base, fostering a wealth of perspectives.

Equal Opportunity

Guidepoint is committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.