Lead Genai Cloud Developer

Elastic

Canada
Base: $101,900 - $151,900 cad; bonus/equity: stock...
On-site
Production-grade ai agent development
Langgraph and langchain frameworks
Hybrid retrieval systems with elasticsearch
Elastic is seeking a Lead GenAI Cloud Developer to enhance its ElasticGPT tool, transforming it into a proactive, task-oriented system that improves workforce productivity. The ideal candidate will have extensive experience in generative AI systems, cloud infrastructure, and a deep understanding of Elasticsearch

Job Summary

  • The role involves leading the evolution of ElasticGPT from a conversational assistant into a proactive, task-oriented agentic ecosystem.
  • Candidates must architect hybrid retrieval systems using ESRE and Jina AI while managing data ingestion pipelines across Confluence, Jira, GitHub, and ServiceNow.
  • Elastic offers a competitive salary range of $101,900 to $151,900 CAD along with stock program eligibility and a company-matched RRSP up to 6%.

Matching Summary

Match Score: 85

Elastic is seeking a Lead GenAI Cloud Developer to enhance its ElasticGPT tool, transforming it into a proactive, task-oriented system that improves workforce productivity. The ideal candidate will have extensive experience in generative AI systems, cloud infrastructure, and a deep understanding of Elasticsearch.

Salary

Base: $101,900 - $151,900 CAD; Bonus/Equity: Stock program eligible; Benefits: Company-matched RRSP up to 6%

Skills & Requirements

Must-have

  • Production-grade AI agent development
  • LangGraph and LangChain frameworks
  • Hybrid retrieval systems with Elasticsearch
  • Kubernetes and cloud infrastructure management
  • Python and TypeScript programming
  • LLM gateway architecture design

Nice-to-have

  • Experience with n8n or equivalent tools
  • Knowledge of MCPs and tool discovery patterns
  • Strong stakeholder influence skills
  • Commitment to ethical AI practices

Key Requirements

  • Bachelor's or Master's degree in Computer Science or Engineering
  • Proven experience developing generative AI models
  • Deep knowledge of PyTorch, TensorFlow, or Hugging Face
  • Extensive experience with AWS, Azure, or GCP
  • Proficiency in containerization and orchestration like Docker and Kubernetes

Work Rights

Not specified

Tailored Resume

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