Stealth Insur-tech Startup
 is hiring a fractional

AI Lead

Added 

x

 - Syndicated from 
Forward (Agency)

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Weekly Commitment

20 hrs

Compensation Range

$150 - $200 / hr

Company Stage

Early-stage VC

Industry

Insur-tech

Location

Remote (ET +/- 5 hrs)
moonlight ok
moonlight ok
convert full-time
convert full-time
equity offered
equity offered
hands-on needed
hands-on needed

About Forward

Forward is a consulting firm that works exclusively with independent consultants to help startups build their engineering organizations.

About the Work

Keywords: LLMs, python, prompting

Budget: $150-$200/hour

Hours per week: 20

Term: 3 months with possibility of extension

Geographic Constraints: None

Timezone Constraints: 5 hours overlap with ET

Start Date: Immediate

Company Stage: Series A

Context:

We’re working with a company that is streamlining the workflows of insurance companies using AI.

Their core product is a ~20 step LLM-based workflow.  It consumes a bunch of documents and a question and uses pinecone to index the documents. It outputs a one page document answering the input question and providing supporting documentation.

They want someone with production AI experience to come in and spearhead efforts to improve this core product. Ideally we’re looking for someone with some level of intuition around how specific changes - prompt changes, workflow changes, fine tuning, swapping models, tweaking their RAG setup, etc. - are gonna effect things. Bonus points for model ops and rails xp.

About You

Roughly in order of importance:

  • You have production AI experience
  • You have consulting experience
  • You have experience working at early stage (~Series A) companies
  • You’re a strong hands on IC with a lot of technical breadth
  • You have Ops xp
  • You have 10+ years experience

How to Apply

Note: This is a syndicated job post, meaning it was not posted to Fractional Jobs directly, so we don't have control over the application process. To apply, click on the "View Application" and follow the application's instructions.


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If we think there's a fit, we'll reach out to schedule an intro call. Looking forward!

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