Ai Forward Deployed Engineering

Halfspace ApS

British Columbia, Canada
Base: $69,450 to $119,450; bonus/equity: not speci...
Not specified (assumed to be hybrid given the client engagement aspect).
5 years cloud-native engineering experience
1 year designing and deploying agentic solutions
Experience with python or java programming
Halfspace ApS is seeking an AI Forward Deployed Engineer with at least five years of experience in building cloud-native solutions and deploying agentic systems for enterprise environments. The role involves engaging directly with clients to design and implement AI-driven workflows that enhance operational efficiency

Job Summary

  • The role involves embedding directly with enterprise clients to design, prototype, and deploy robust, secure, and operational AI agent workflows.
  • Engineers will architect enterprise-ready AI systems featuring retrieval, orchestration, policy-based routing, and comprehensive lifecycle observability.
  • Candidates must possess a minimum of 5 years of experience building cloud-native solutions and at least 1 year of experience with agentic systems.

Matching Summary

Match Score: 85

Halfspace ApS is seeking an AI Forward Deployed Engineer with at least five years of experience in building cloud-native solutions and deploying agentic systems for enterprise environments. The role involves engaging directly with clients to design and implement AI-driven workflows that enhance operational efficiency.

Salary

Base: $69,450 to $119,450; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • 5 years cloud-native engineering experience
  • 1 year designing and deploying agentic solutions
  • Experience with Python or Java programming
  • Knowledge of Kubernetes and Docker containerization
  • Ability to build abstraction layers for AI providers

Nice-to-have

  • Forward Deployed Engineer experience in enterprise
  • Understanding of compound AI systems architecture
  • Experience with open-source AI models
  • Strong critical thinking in ambiguous environments
  • Background in domain-specific workflow automation

Key Requirements

  • Bachelor's degree in Computer Science or Engineering
  • Minimum 5 years engineering experience with cloud-native systems
  • Minimum 1 year designing and deploying agentic solutions
  • Minimum 1 year experience with AI platforms like OpenAI or Claude
  • Minimum 5 years programming experience in Python, Java, or equivalent

Work Rights

Not specified

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