AI Product Engineer: Turn Problems into Prototypes

Referment

New York (NY)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Referment is seeking an engineering-oriented AI product professional who can turn loosely defined business problems into prototypes, internal tools and lightweight products.

You will translate pain points into technical solution paths, prototype with LLM APIs and vector databases, and build simple interfaces to demonstrate product viability. You will collaborate with engineers and external partners to move prototypes toward broader adoption and apply AI across internal workflows.

Qualifications

  • Bachelor's degree or higher in a relevant field.
  • 3–6 years of relevant experience.
  • At least 2 years building technology products with engineering teams.
  • Practical intuition for applying LLMs to business problems.
  • Experience turning ambiguous prompts into scoped plans and working solutions.

Responsibilities

  • Translate business pain points into scoped technical solution paths.
  • Prototype with LLM APIs, orchestration frameworks, vector databases and open-source components.
  • Build simple user-facing interfaces that demonstrate product viability.
  • Work with engineers and external partners to move prototypes towards broader adoption.
  • Apply AI across internal tools, process automation and workflow improvement for the studio and its portfolio.

Skills

LLM APIs
Vector databases
Open-source tools
Prototyping
Engineering collaboration
Product mindset

Education

Bachelor's degree or higher

Tools

Open-source tooling

Job description

Referment is seeking an engineering-oriented AI product professional who can turn loosely defined business problems into prototypes, internal tools and lightweight products.

You will translate pain points into technical solution paths, prototype with LLM APIs and vector databases, and build simple interfaces to demonstrate product viability. You will collaborate with engineers and external partners to move prototypes toward broader adoption and apply AI across internal workflows.

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