Guidepoint

About Guidepoint

Connecting you with expert insights on demand

🏢 Corporate, Tech👥 1K-5K📅 Founded 2003📍 New York, New York, United States

Key Highlights

  • Headquartered in New York City with a global presence
  • Serves over 1,000 clients, including Fortune 500 companies
  • Access to a network of 500,000+ expert advisors
  • Raised over $60 million in funding since inception

Guidepoint, headquartered in New York City, is a prominent expert network that connects clients with over 500,000 expert advisors across various industries. Founded in 2003, Guidepoint serves more than 1,000 global companies, including Fortune 500 firms, by providing consultation and data services t...

🎁 Benefits

Guidepoint offers competitive salaries, equity options, generous PTO policies, and flexible remote work arrangements. Employees also benefit from a le...

🌟 Culture

Guidepoint fosters a culture of knowledge-sharing and collaboration, emphasizing the importance of expert insights in driving business success. The co...

Overview

Guidepoint is seeking an AI Engineer to join their Toronto-based AI team. You'll design and implement AI systems and agents, focusing on compliance and editorial workflows while working with technologies like LangChain and REST APIs. This role requires experience in AI and machine learning.

Job Description

Who you are

You have a solid background in AI engineering, with hands-on experience in building and operating AI systems and agents. You understand the intricacies of compliance and editorial workflows and are skilled in designing automated solutions that enhance research enablement. Your expertise includes working with frameworks such as LangGraph and LangChain, and you are familiar with production-grade REST APIs. You are adept at developing scalable data pipelines and have a keen interest in improving agent reliability and performance through prompt engineering techniques.

Desirable

Experience with retrieval-augmented generation (RAG) pipelines and automated evaluation pipelines using tools like MLflow will set you apart. You thrive in collaborative environments and are eager to contribute to a diverse team that values different perspectives and backgrounds.

What you'll do

In this role, you will design and implement AI systems that automate compliance and editorial workflows, significantly enhancing the efficiency of research enablement products. You will work closely with your team to build agents capable of intent interpretation, task decomposition, and tool use, ensuring they operate effectively in production environments. Your responsibilities will include developing production-grade REST APIs to serve AI capabilities and maintaining scalable data pipelines that support AI workloads.

You will also design and maintain retrieval-augmented generation (RAG) pipelines, utilizing embeddings and Elasticsearch to enhance data retrieval processes. Your role will involve developing automated evaluation pipelines for agent behavior and outputs, ensuring high-quality performance and reliability. You will continuously seek to improve agent latency and cost-effectiveness through innovative prompt management techniques and workflow optimizations.

What we offer

At Guidepoint, you will be part of a vibrant Toronto Technology Hub, where you will collaborate with a diverse team focused on building a responsible AI platform. We are committed to creating an equitable and welcoming environment for all employees, and we encourage you to apply even if your experience doesn't match every requirement. Join us in shaping the future of AI and making a meaningful impact in the research enablement space.

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