Prompt Engineer

About the Opportunity for a Prompt Engineer

This role involves designing and implementing natural language processing (NLP) and machine learning (ML) models that power a web3 documentation chatbot. The engineer will collaborate with product and engineering teams to ensure accurate and helpful chatbot responses. This is a remote position within the United States, with strict monitoring of work locations and restrictions on foreign IP access and personal VPN use due to federal contract requirements.

Responsibilities

• Design, develop, and implement custom generative and discriminative large language models (LLMs)
• Create wrapper applications based on ChatGPT and other LLMs
• Develop AI alignment systems, Reinforcement Learning with Human Feedback (RLHF) instruction models, and AI guardrails
• Conduct rigorous testing of LLMs using standardized benchmarks and custom evaluations
• Apply advanced NLP and ML techniques to complex language problems
• Translate technical findings into clear insights for non-technical audiences
• Develop and maintain documentation and best practices for NLP and ML models
• Collaborate on distributed training infrastructure to train and fine-tune LLMs
• Lead design and implementation of new products with data science and development teams
• Integrate AI technologies into internal and external tools in collaboration with data science and development teams
• Provide technical leadership in AI audits, model accuracy improvements, and tool deployment
• Fine-tune AI models based on real-world performance and stakeholder feedback

Requirements

• US Citizenship required due to federal government contract
• Ability to obtain Public Trust clearance
• Must reside and perform work within the United States
• Bachelor’s degree in computer science or related field
• Seven years of relevant software engineering or equivalent experience
• Strong background in NLP, machine learning, and data analysis
• Three or more years of experience with Python
• Experience with Azure cloud platform
• Familiarity with ML frameworks such as TensorFlow and PyTorch
• Experience with generative LLM fine-tuning and prompt engineering
• Experience with deep learning frameworks
• Ability to collaborate with data scientists, business analysts, and ML infrastructure teams
• Demonstrated passion for LLM-powered product development through commercial or open-source projects
• Proven track record of shipping software and releasing applications (include names and links on resume)
• Experience with cloud technologies and edge computing relevant to AI deployment
• Familiarity with Databricks for large-scale data processing
• Knowledge of CI/CD pipelines and DevOps best practices
• Experience with virtual machine environments
• Excellent problem-solving skills and ability to work independently and collaboratively
• Strong communication skills to explain technical concepts to non-technical stakeholders
• Comfortable with collaboration across distributed teams

Benefits & Perks

Reasonable accommodations available for disabled veterans, individuals with disabilities, and those with sincerely held religious beliefs during application and employment processes.

Candidate AI Usage Policy

Use of AI tools to generate or assist with responses during interviews is prohibited to maintain interview integrity. Candidates requiring AI-related accommodations should contact the program in advance.

Key skills/competency

• Natural Language Processing (NLP)
• Machine Learning (ML)
• Large Language Models (LLMs)
• Python
• Azure
• Prompt Engineering
• Deep Learning
• AI Alignment
• Data Analysis
• Web3