Prompt Engineer II

AuditBoard · Remote

Company

AuditBoard

Location

Remote

Type

Full Time

Job Description

Who We Are

Having surpassed $200M ARR and continuing to grow rapidly, AuditBoard is the leading audit, risk, ESG, and InfoSec platform on the market. Nearly 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award-winning technology to move their businesses forward with greater clarity and agility. And our customers love us: AuditBoard is top-rated on G2.comΒ and Gartner Peer Insights.


At AuditBoard we inspire each other to innovate and are proud of what we are producing. We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. We are all about assisting each other and breaking through barriers to create the most loved audit, risk, ESG, and InfoSec platform by our customers. This is how we have become one of the 500 fastest-growing tech companies in North America for the fifth year in a row as ranked by Deloitte!

Why This Role is Exciting

We are seeking a creative and detail-oriented Prompt Engineer to join our mission to revolutionize risk management. In this role, you will design and refine prompts that optimize the performance of Large Language Models (LLMs), focusing on factuality, relevance, and trust in the Governance, Risk, and Compliance (GRC) domain. You will collaborate closely with machine learning engineers and subject matter experts to integrate domain-specific knowledge into prompts and develop synthetic datasets that enhance our AI capabilities. If you're passionate about shaping AI-driven solutions and transforming industries, this role is for you. Join our dynamic team committed to innovation and excellence.

Responsibilities

  • Design, test, and refine prompts to guide AI models in generating accurate and relevant outputs.
  • Collaborate with machine learning engineers and subject matter experts to incorporate GRC-specific knowledge into prompts.
  • Develop synthetic datasets to enhance AI model training and ensure factuality, relevance, and trust.
  • Analyze model outputs and performance metrics to iterate and improve prompt effectiveness.
  • Document prompt design processes and outcomes to maintain clarity and consistency.
  • Identify and implement innovative prompting techniques to address emerging challenges and opportunities.

Attributes of a Successful Candidate

  • Proven experience in designing and refining prompts for AI models, with a focus on factuality and relevance.
  • Strong understanding of natural language processing and machine learning concepts.
  • Experience in creating and curating synthetic datasets to enhance AI model performance.
  • Ability to collaborate effectively with machine learning engineers and subject matter experts.
  • Excellent analytical skills to evaluate model outputs and improve prompt performance.
  • Strong communication skills for crafting effective prompts and documentation.
  • A background in Governance, Risk, and Compliance (GRC) or related domains is a plus.

Perks*

Β 

  • Launch a career at one of the fastest-growing SaaS companies in North America!
  • Live your best life (LYBL)! $200/mo for anything that enhances your life
  • Remote and hybrid work options, plus lunch in the Cerritos office
  • Comprehensive employee health coverage (all locations)
  • 401K with match (US) or pension with match (UK)
  • Competitive compensation & bonus program
  • Flexible Vacation (US exempt & CA) or 25 days (UK)
  • Time off for your birthday & volunteering
  • Employee resource groups
  • Opportunities for team and company-wide get-togethers!


*perks may vary based on eligibility


Please note: background checks are required. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. This role may have access to highly sensitive data including: employee data, customer data, company financials, and proprietary product information.


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Date Posted

09/11/2024

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