Overview:

Guidepoint seeks an experienced Senior Software Engineer as an integral member of the Toronto-based Data/AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications.

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto.

What You will Do:

You'll be instrumental in taking product ideas from initial concept to full-scale platform, handling everything from rapid prototyping to building robust, scalable systems
Design and develop core backend services and APIs that support our AI applications and data products
Expertise on core engineering skills - Cloud, microservice architecture, caching, queuing
Own systems end-to-end including (but not limited to) design, code, monitoring, observability for Engineering Projects and training, testing, deployment and iteration for model training projects
Hands-on coding and development using Node.js/Typescript and Python technologies for backend development
Solid experience with Elasticsearch/OpenSearch & Elastic Stack, including index design, query optimization, and cluster management
Strong understanding of Software development (design patterns, REST, system design)
Experience with relational databases and NoSQL databases
Collaborate with cross-functional teams, including product managers, to understand project requirements
Implement and advocate for continuous integration and continuous delivery (CI/CD) practices
Ensure adherence to best practices and coding standards in software design and development

What You Have:

Bachelor's Degree or equivalent
Proficiency in modern programming languages (e.g., Python, JavaScript/TypeScript, Go, etc.)
Experience with continuous integration and continuous deployment (CI/CD) pipelines and managing application deployments in a containerized environment. (Docker, Kubernetes)
Proven experience designing and deploying applications using Generative AI and large language models (e.g., GPT-4, Claude, Gemini, open-weight LLMs)
Experience with retrieval-augmented generation, embeddings-based search, agent orchestration, or prompt chaining
Demonstrated leadership ability in building and scaling AI/ML systems
Excellent communication and collaboration skills across engineering, product, and business stakeholders

Nice-to-Have:

Experience designing Generative AI (GenAI) systems for end-user applications like research assistants, content summarizers, or copilots
Understanding of the challenges and best practices for building compliant and explainable AI solutions, especially in regulated industries
Hands-on experience with Kubernetes (preferably Azure Kubernetes Service)
Experience with NoSQL databases (e.g., Elasticsearch, MongoDB) and SQL databases (e.g., PostgreSQL, MS SQL)
Experience building data and system integrations using various technologies, including message queues (e.g., RabbitMQ) and Kafka

You will also be eligible for the following benefits:

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

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

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