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.
LI- SP1
LI-Hybrid
