Prompt Engineer at Lenmar Consulting Inc

Posted on (16 days ago)

Location: Alpharetta, GA, United States

Industry: Information Technology & Services

Job Type: contract

Experience Level: mid-senior-level

Remote: on-site

Job Description

The mission of the Research team is to make Brokerage’s research and its team of analysts available to institutional clients through a Research Portal web site and chat tools including AI-driven chat. To make this vast amount of information more accessible, we have built a variety of tools including a search engine, a machine-learning-driven search intent classifier, an LLM-driven question-answering system, and an ontology/taxonomy, all supported by reference data about companies, industries, and our analysts. Global Research is building a team of SMEs and LLM/NLP experts to support this. The Prompt Engineer will be a member of this team.

Responsibilities

  • Design and develop effective prompts to interact with LLMs.
  • Test and refine prompts on model responses and specific use cases and requirements.
  • Collaborate with data scientists and developers.
  • Analyze and interpret model outputs to improve prompt design.
  • Ensure that prompts adhere to legal and compliance mandates, ethical guidelines and cultural sensitivities.
  • Provide expertise in NLP and AI interactions.
  • Document prompt design strategies and guidelines for various use cases
  • Works closely with SMEs and domain experts to ensure prompt relevance and accuracy.
  • Adapt prompts for different languages, audiences and cultural contexts if required.
  • Keep up-to-date on the latest developments in AI and language models.
  • Over time build a basic understanding of the investment research domain.

Requirements

  • Education: Bachelors or Masters
  • 3+ years of experience with AI, Client or NLP solutions (min 6 months experience as prompt engineer strongly preferred)
  • Strong background in AI, machine learning and LLMs
  • Experience in NLP techniques
  • Familiarity with programming languages used in the LLM ecosystems (Python)
  • Ability to communicate with technical and non-technical stakeholders
  • Collaborative work
  • Strong analytical skills and superb attention to detail
  • Creativity and innovation in problem-solving
  • Understanding of ethical and compliance considerations for AI and NLP
  • Ability to work in a fast-paced environment
  • Basic understanding of financial research or some experience in the financial services industry is highly preferred, but not mandatory.