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People Culture Talent
Candidates need a strong software engineering background with experience building production systems. They should learn unfamiliar systems quickly, communicate well with technical and non-technical people, and be comfortable with customers and ambiguity.
Problem solving, Communication skills, Debugging
OpenLoop Health: OpenLoop is the nation’s top white-label digital health infrastructure provider, powering virtual care delivery for healthcare organizations,…
5+ YOECandidates need 5 to 15+ years of software engineering experience, including significant direct delivery for external customers. They need strong integration engineering skills, experience building with and verifying AI agents, a security-first approach to sensitive data, and clear communication with technical and non-technical audiences.
Sales, Direct inward dialing, Communication skills, API development, Regulatory compliance, Documentation
Fleetio
5+ YOECandidates need 5+ years of Ruby on Rails and 2+ years of React, plus experience shipping production web apps. They must be comfortable working with non-technical stakeholders, breaking complex requests into milestones, and communicating clearly in a remote, async setting.
Ruby on Rails, React
Artefact North America: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, hands-on Google AI stack work (Gemini, Vertex AI) and strong Python and TypeScript skills. A Google Cloud certification such as Professional Machine Learning Engineer is strongly preferred, and must be obtained within 2 months if not held.
Gemini Enterprise, Vertex AI, BigQuery, Google ADK, LangGraph, LangChain
Cresta
3+ YOECandidates need 3+ years of software, AI/ML or consulting experience, a Bachelor's or Master's in a related field, and proficiency in Python and Golang. Hands-on experience with LLMs, RAG, function calling, cloud platforms and API integrations is strongly preferred.
AWS, GCP, Azure, CI/CD tools
Archera
8+ YOECandidates need 8+ years of hands-on technical customer or partner-facing experience, deep Azure commitment and billing knowledge, and working fluency with APIs, Git, IaC and CI/CD. Strong judgment, numeric accuracy and the ability to present to both engineers and CFOs are essential.
Azure, AWS, Google Cloud, Git, Claude Code, Azure cost exports
Spellbook
3+ YOECandidates need 3 to 7 years of shipping production software, strong backend or full-stack skills, and experience building APIs and working in cloud environments. LLM exposure and comfort working directly with enterprise customers are also required.
Node.js, TypeScript, Express, tRPC, MongoDB, Docker
Shakudo
8+ YOECandidates need 8+ years in software, data, platform or AI engineering, including 3+ years building LLM applications and 5+ years with Kubernetes in production. Strong cloud, data engineering and customer-facing skills are required, with a production programming language.
Kubernetes, Spark, Airflow, Databricks, Snowflake, PagerDuty
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need hands-on experience deploying enterprise software in private or hybrid clouds and running production Kubernetes clusters with Helm. Strong cloud, networking and virtualization skills, plus comfort working directly with customers, are expected. Active Top Secret clearance is strongly preferred, and familiarity with Canadian public sector security is an asset.
Kubernetes, Helm, Git, Azure, AWS, GCP
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need to have shipped a lot of Python in production and built fast, high-performance RAG or agentic AI applications. They should enjoy working directly with customers, be strong across the full stack, and be able to thrive when priorities change quickly.
Python
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need hands-on experience building production Python software, deploying RAG and agentic LLM applications, and building evaluation frameworks. They also need experience leading technical discussions with enterprise stakeholders and owning use cases end to end.
Python, vector databases, LLM orchestration frameworks, North platform
9 companies