Prompt Engineer

About the Opportunity:

This role involves designing and implementing natural language processing (NLP) and machine learning (ML) models that power a web3 documentation chatbot. The Prompt 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:

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