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About the Role

Guidepoint seeks an experienced AI Engineer to join the Toronto-based AI team, focusing on building a modern data infrastructure for advanced analytics and responsible AI development. This role is crucial for developing cutting-edge Generative AI and analytical capabilities for Guidepoint’s Next-Gen research enablement platform and data products. You will lead the development and scaling of Generative AI systems, including LLM applications and research agents, ensuring responsible AI integration and MLOps best practices. The AI/ML Engineer will be a key contributor to building 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 to junior engineers through code reviews, mentorship, and design discussions.
• Partner with product and business 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, and zero-downtime deployments.
• Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred) using containerization (Docker) and orchestration (Kubernetes, Helm).
• 2+ years of experience building applications leveraging large language models (e.g., OpenAI, Anthropic, Google Gemini).
• Direct experience with modern 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
• Prompt Engineering
• LLM Judges
• MLflow
• Databricks
• Apache Spark
• LangChain
• LlamaIndex

Location

• Toronto

Work Type

• Hybrid
• On-site

Experience Level

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

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

• Annual discretionary bonus based on performance
• 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 hard-to-source expertise to help clients turn answers into action.
• Guidepoint is backed by a network of nearly 1.75 million experts and 1,600 employees worldwide.
• The company informs leading organizations’ research by delivering on-demand intelligence and research.
• Guidepoint helps companies and investors navigate information, making it more useful and powerful.

Equal Opportunity

• Guidepoint's success relies on the diversity of its employees, advisors, and client base, which allows for a wealth of perspectives.
• The company is committed to upholding policies that contribute to an equitable and welcoming environment for its community, regardless of background, identity, or experience.