Elastic Ai Engineer

Elastic Cloud

Canada
Base: $101,900 - $161,200 cad; bonus/equity: stock...
On-site
3-5 years relevant work experience
1 year experience with elastic stack
Knowledge of elasticsearch relevance engine esre
Elastic is seeking an Elastic AI Engineer to develop autonomous workflows using the Elastic Stack. The ideal candidate will have experience in AI integration and a solid understanding of cloud-based environments, contributing to the company's mission of solving data challenges

Job Summary

  • The role focuses on building autonomous, enterprise-grounded agents that complete complex business tasks rather than just answering questions.
  • Candidates will apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine to ensure high-accuracy task completion.
  • Elastic offers a competitive salary range, stock program eligibility, and a company-matched RRSP up to 6%.

Matching Summary

Match Score: 85

Elastic is seeking an Elastic AI Engineer to develop autonomous workflows using the Elastic Stack. The ideal candidate will have experience in AI integration and a solid understanding of cloud-based environments, contributing to the company's mission of solving data challenges.

Salary

Base: $101,900 - $161,200 CAD; Bonus/Equity: Stock program eligible; Benefits: RRSP match up to 6%, health coverage, vacation days

Skills & Requirements

Must-have

  • 3-5 years relevant work experience
  • 1 year experience with Elastic Stack
  • Knowledge of Elasticsearch Relevance Engine ESRE
  • Experience with LangGraph LangChain LangSmith
  • Python or TypeScript programming skills
  • Kubernetes Docker Terraform familiarity

Nice-to-have

  • Bachelor's or Master's degree in Computer Science
  • Strong communication and translation skills
  • Commitment to Ethical AI practices
  • Experience with Microsoft Copilot Studio
  • Knowledge of Model Context Protocol MCP

Key Requirements

  • 3-5 years of work experience
  • Minimum 1 year Elastic Stack experience
  • Proven success in GenAI projects
  • Familiarity with agentic frameworks
  • Hands-on LLM provider experience

Work Rights

Not specified

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