Lead Prompt Engineer

SUMMARY

Improves DevOps processes, including but not limited to, requirements gathering, documentation, code generation, and automated test creation. Helps shape the tooling and frameworks used across the Information Technology (IT) department and ensures seamless integration with multiple development teams and third-party resources. Uses hands-on experience working with multiple Large Language Models (LLMs).

MAJOR RESPONSIBILITIES

• DevOps Process Improvement: Enhances and streamlines DevOps processes, focusing on requirements, documentation, code, and automated test creation.
• Tool and Framework Development: Assists in defining and developing the tools and frameworks used across the department to enhance efficiency and collaboration.
• Collaboration: Works closely with multiple development teams and third-party resources to ensure cohesive and efficient workflows.
• Large Language Model (LLM) Utilization: Leverages experience with multiple LLMs to improve various aspects of software development and deployment.
• Documentation: Creates, maintains, and improves documentation for DevOps processes and tools.
  Testing: Develops and implements automated tests to ensure the quality and reliability of software applications.
• Prompt Design & Development: Creates, tests, and refines prompts to guide generative artificial intelligence (GenAI) models in generating accurate and relevant responses. Develops strategies to confine model outputs to meet specific objectives and desired outcomes.
• Research and Innovation: Stays up to date with the latest advancements in GenAI and prompt engineering techniques. Experiments with new approaches and technologies to enhance the capabilities of our AI models.

REQUIRED SKILLS AND PERSONAL QUALIFICATIONS

• Experience with other cloud platforms and DevOps tools.
• Knowledge of modern software development practices and methodologies.
• Familiarity with machine learning and artificial intelligence concepts.
• Technical Stack Exposure: Experience with Microsoft Azure and GitHub Copilot
• DevOps Knowledge: Strong understanding of DevOps processes and tools, with a proven track record of improving and streamlining these processes.
• Hands-on experience working with multiple Large Language Models (LLMs)
  

EDUCATION/EXPERIENCE REQUIREMENTS: BA/BS degree and 4-6 years of relevant experience. At least 2-4 years of experience accepted working with LLMs in the context of the software development lifecycle.

WORK ENVIRONMENT

• Hybrid Role: Remote work 2 days per week (After 90 Days Onboarding)
• Travel Required: 5%