7 days ago
Remote, CanadaSenior
Responsibilities
- Extend enterprise applications with new user interfaces and RESTful APIs for AI-powered customer capabilities.
- Partner with ML engineers, UX designers, and product managers to turn model outputs and user requirements into production-ready features.
- Own features end to end, including database and API design, front-end implementation, and deployment.
- Optimize system architecture, performance, and scalability across the ML platform.
- Build internal tooling for deploying, testing, monitoring, and operating ML models and pipelines.
- Promote engineering best practices through code reviews, testing strategies, documentation, and mentorship of junior engineers.
- Improve automated testing processes and application reliability with quality engineering.
- Contribute to technical roadmaps and architectural decisions based on business goals.
Requirements
- University degree or equivalent in Computer Science, Software Engineering, or a related field.
- At least 7 years of professional software development experience.
- Strong proficiency in at least one back-end language; Ruby/Rails experience is a plus, and Python is also used.
- Ability and willingness to learn new languages and frameworks.
- Experience designing, building, and consuming RESTful APIs.
- Proficiency with modern front-end frameworks such as React, Vue, or Angular, plus front-end performance best practices.
- Strong SQL development skills and experience with relational databases.
- Experience with Git and modern branching, pull request, and code review workflows.
- Experience or exposure to Agile development methodology.
- Preferred: exposure to ML workflows, LLM-based systems, ML frameworks, or the Model Context Protocol.
- Preferred: experience with Snowflake, dbt, AWS, Docker, Kubernetes, CI/CD pipelines, and DevOps practices.
Benefits
- Outcome-focused environment emphasizing trust, empowerment, curiosity, and collaboration.
- Growth opportunities, supportive teammates, and tools to succeed.
- Open to candidates located anywhere in Canada, with preference for candidates in New Brunswick or Nova Scotia.
Categories
About Introhive
Introhive builds an AI-powered relationship intelligence platform that automates contact capture, cleans CRM data, and surfaces relationship insights for revenue, marketing, and client-service teams. Delivered as SaaS, it integrates with enterprise CRMs to support business development and client retention in B2B organizations. Founded in 2012 and headquartered in Fredericton, New Brunswick, the privately held company counts KPMG, Freshfields, CBRE, and Deloitte among its customers.