The role leads enterprise MarTech architecture and platform engineering to deliver AI-ready marketing technology solutions, including designing intelligent agents for campaign workflows, driving integrations and migrations (CMS, webinar tools, etc.), creating technology roadmaps, and establishing standards and governance. Requires 10+ years in marketing technology/solutions architecture and 5+ years designing AI/ML or intelligent automation systems.

Staff-level backend role responsible for setting technical direction and delivering autonomous and scheduled agents that operate on customer repositories, and improving the DAP onboarding experience. Requires deep hands-on Ruby/Rails experience, experience integrating LLMs into products, building agentic systems, and driving design and delivery of complex, high-scale systems in a distributed, async-first environment.

Remote Staff Backend Engineer (Canada or United States) for GitLab's Nonlinear Productivity team. Responsible for setting technical direction for agentic systems and orchestration, discovering and fixing SDLC friction, applying distributed systems judgment across GitLab's codebase, mentoring senior and mid-level engineers, and owning a greenfield technical foundation. Proficiency in Go, Rust, or Python and experience with LLM/agentic systems and distributed systems fundamentals are required. US base salary range listed: $152,800–$259,200 USD per year.

Work across GitLab’s codebase to scope and build agentic, LLM-driven systems that automate multi-step engineering workflows (e.g., code review and release steps). Require hands-on experience making agentic/LLM systems reliable in production, strong distributed systems knowledge, and proficiency in Go, Rust, or Python.

Veeva seeks a Technical Product Manager (AI) to design and deliver AI agent solutions for Veeva QualityDocs (regulated quality content management) and Veeva Training (LMS). Role involves hands-on design and development of AI features, building production AI agent applications (data flow, orchestration, prompts), working with engineering and UX to automate business processes, and presenting capabilities to stakeholders. Requires 5+ years enterprise SaaS product/technical experience (2+ years on AI/ML), coding in Python, familiarity with AI frameworks/APIs, LLMs, prompt engineering, and the ability to be located within one hour of the Eastern Time zone. Travel ~20%.

Seeking a technical product manager with 5+ years in enterprise SaaS and 2+ years focused on AI/ML to design and deliver production AI Agent applications (Docs to Data) across Veeva Quality Cloud. Role requires hands-on design, Python coding, experience with AI frameworks/APIs, data flow and model integration, collaboration with engineering and UX, and ability to travel ~20%. Based in or within one hour of the Eastern Time zone (Toronto, Canada listed).

Join the Growth Foundations Group to build and ship agent orchestrations, automated workflows, and system integrations that power paid growth, lifecycle, organic, CRO, incentives, referrals, and creative pipelines. The role requires 3+ years building automation workflows or agentic systems, strong API integration skills, experience with LLM APIs and prompt engineering, and domain familiarity with growth/marketing.

Work on the Duo Chat backend to design and build Flow Registry components using Python and LangGraph, integrate generative AI models and multi-agent orchestration, and implement GraphQL/REST APIs and monolith logic. Responsibilities include improving observability, test coverage (pytest, RSpec), performance and reliability, collaborating with product and UX, and participating in Tier 2 on-call rotations.

The AI Specialist will deliver the AI LCC's core programming (including a weekly AI AAA Series), develop partnerships with AI companies, build and scale a global educator community across WhatsApp and other platforms, design learning circles, pilot AI-driven tools for summarization and translation, and track community and program health metrics. The role requires hands-on experience with foundation models and prompt engineering, community management on social-first platforms, multimedia content skills, and experience working across diverse, multi-time-zone contexts. Travel up to 30% is expected; the role does not offer visa sponsorship.

Grafana Labs seeks a Staff Backend Engineer to design, implement, test, and operate the first production services for a context management system that powers ingestion, indexing, retrieval APIs, and agent-facing integrations. The role focuses on building a scalable multi-tenant SaaS foundation, working with observability tooling, and iterating from prototype to production. Candidates should have experience with LLMs/GenAI, cloud-native environments (AWS/GCP/Azure), and production-grade backend systems.

Grafana Labs is hiring a Staff Backend Engineer to build the initial production services for an AI-native data intelligence/context system, including ingestion, indexing, retrieval orchestration, APIs, and multi-tenant SaaS infrastructure. The role is remote and targets candidates in the U.S. or Canada (residents of Quebec are not eligible). Base compensation in Canada is stated as CAD 186,368–223,642 per year.

Work on the Duo Agent Platform in the GitLab monolith (primarily Ruby) and occasionally the AI Gateway (Python). Responsibilities include designing and implementing GraphQL/REST APIs, developing backend features, improving automated tests (RSpec), troubleshooting production issues (Tier 2 on-call), and collaborating with product, UX, frontend and AI teams to ship scalable, secure AI-enabled backend functionality.

You will author merged PRs and build integrations (libraries, agent frameworks, MCP servers, automation platform connectors) so developers and AI agents can access SearchApi. Required: proven merged open-source contributions in repos you don't own, fluency with Ruby/Python/TypeScript and at least one agent/automation framework, and strong written English for docs and PRs.

Grafana Labs seeks a Staff Engineer (AI & Automation) to own AI agent infrastructure and an automation platform for Marketing Operations. Responsibilities include designing and operating multi-agent architectures, integrating LLMs with internal and third-party systems (BigQuery, CRMs, Slack), building serverless/containerized services on GCP, and establishing observability, governance, and self-service workflows. Requires 8+ years software engineering experience and 2+ years applying LLMs in production. Base compensation range in Canada: CAD 164,490–197,389.

NerdWallet seeks a Software Engineer (AI & Automation) within Security to design and build AI-enabled workflows (RAG, multi-agent systems), automated code-review and vulnerability analysis tools, production Python services/APIs, scalable ingestion/indexing pipelines, and integrations with engineering tools (GitHub, Slack, Jira, Confluence). The role emphasizes production experience with LLM APIs/agents, distributed/cloud systems, observability, testing, and applying security controls to AI applications. Remote across Canada (except Quebec).

Udacity (an Accenture company) seeks external contractors to serve as technical mentors for Agentic AI content. Responsibilities include 1:1 video support, technical deep-dive sessions, and group Q&A. Requires 5+ years technical experience and hands-on knowledge of LLMs, prompt engineering, agent design (tooling, APIs, memory/state), RAG, multi-agent systems, and agent evaluation.

Lead development and delivery of an AI and technology solutions strategy across Teach For All and its network partners. Responsibilities include identifying and delivering AI-forward products, managing a small team (two solutions engineers and a UI/UX specialist), stakeholder engagement, requirements gathering, measuring impact, community building, and driving adoption. Role is 100% remote, three-year fixed-term, requires valid work authorization in country of hire, and may involve up to 20% travel.

Senior engineer responsible for owning GPU/accelerator clusters and related stack (drivers, runtimes, device plugins, node config, schedulers, serving frameworks) to enable in-house model training and inference. Requires 5+ years in infrastructure engineering with hands-on experience operating GPU or accelerator-backed production environments, strong systems fundamentals (Linux, networking, storage, containers, Kubernetes), Python proficiency, and experience with ML serving frameworks and observability.

CircleCI seeks a Senior Software Engineer with 5+ years of production full-stack experience to define technical direction, build AI-native interfaces, and own end-to-end features (Go, React, TypeScript). Responsibilities include system and API design, observability (Honeycomb, Datadog, Rollbar), reliability and performance work, and mentoring other engineers. The role is remote across Canada, the United States, and the United Kingdom.

Sardine is hiring a Forward Deployed AI Engineer (remote, US or Canada) to embed with clients, translate operational challenges into technical architectures, and architect, train, fine-tune, evaluate, and deploy AI agents and production ML pipelines focused on fraud prevention and AML automation. Requires 5+ years in data science or applied AI and proficiency in Python and SQL.