Enterprise AI Deployment Engineer

Visa Hunt

New York (NY)

Hybrid

USD 140,000 - 180,000

Full time

10 days ago

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Benefits offered by this job

Top-tier compensation
Stock options
Health & wellness

Job summary

Reflection is seeking a Forward Deployed Engineer to translate AI research into real-world applications for enterprise customers. You will own the technical strategy and delivery of agentic systems from discovery to production launch.

Join a hands-on team that deploys across hybrid environments, collaborates with research, and helps craft playbooks. You will influence architecture, tooling, and best practices while delivering measurable customer value.

Qualifications

  • Strong software engineering background with production-grade systems (Python, Typescript).
  • Proven track record deploying enterprise software in cloud/hybrid environments using modern DevOps (Docker, Kubernetes, CI/CD).
  • Deep understanding of ML concepts and hands-on experience with AI stacks including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.
  • 3+ years of software engineering delivering AI-driven enterprise solutions (Forward Deployed Engineer, Software Engineer, or Applied AI Engineer).
  • Demonstrated ability to work in customer-facing environments and deliver tangible outcomes.
  • Self-starter with high agency and ownership in fast-paced startup settings.

Responsibilities

  • Partner with Deployment Strategists and Sales to understand enterprise needs, architect solutions, and develop transformative agentic applications.
  • Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying production systems.

Skills

Python
Typescript
Docker
Kubernetes
LLM workflows

Tools

CI/CD

Job description

Reflection is seeking a Forward Deployed Engineer to translate AI research into real-world applications for enterprise customers. You will own the technical strategy and delivery of agentic systems from discovery to production launch.

Join a hands-on team that deploys across hybrid environments, collaborates with research, and helps craft playbooks. You will influence architecture, tooling, and best practices while delivering measurable customer value.

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