Prompt Engineer

Prompt Engineer at RemoteHunter

This Prompt Engineer role offers a unique opportunity to design and implement cutting-edge natural language processing (NLP) and machine learning (ML) models for a web3 documentation chatbot. You will be a key player, collaborating with product and engineering teams to ensure highly accurate and helpful chatbot responses. This is a remote position within the United States, subject to strict work location monitoring and federal contract compliance.

Responsibilities

• Design, develop, and implement custom generative and discriminative large language models (LLMs).
• Create wrapper applications utilizing 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

RemoteHunter supports reasonable accommodations for disabled veterans, individuals with disabilities, and those with sincerely held religious beliefs during the application and employment processes.

Candidate AI Usage Policy

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

About RemoteHunter

RemoteHunter acts as a connector, not the Employer of Record. Our mission is to link exceptional candidates with leading employers, guiding them to apply directly through the hiring company’s career page or ATS.

Key skills/competency

• Natural Language Processing
• Machine Learning
• Large Language Models (LLMs)
• Prompt Engineering
• Python Programming
• Azure Cloud
• Deep Learning Frameworks
• AI Alignment
• Data Analysis
• Distributed Systems