Patersons Securities - Seattle, WA

posted about 2 months ago

Full-time - Principal
Seattle, WA

About the position

Picco, the software agent, is powering AI operations for all knowledge work, starting with Go-to-Market (GTM) operations. Picco builds software skills to execute repetitive tasks that take up 50% of knowledge workers' time. We are solving both the redundant task and workflow challenges as well as the copy-paste challenges between the many SaaS tools it takes to run an organization. Picco automates tasks from your own words, not built by drag and drop workflows. We're seeking a Principal AI engineer to improve the core skill and task generation process. As a Principal AI Engineer, you will be responsible for building core code for generating skill code and tasks. You will identify and conduct high-value experiments aimed at improving software and team efficiency. Writing key prompts and prompt chains will be a crucial part of your role, as well as designing architecture improvements for the RAG pipeline, code generation, and task execution. You will serve as a thought leader and strategy driver for the company in tandem with the CTO, ensuring that the engineering team is aligned with the overall vision and goals of the organization. Additionally, you will work closely with the customer integration engineer to plan and implement new skills for customers, focusing on increasing efficiency. Evaluating new LLM models and techniques, including fine-tuning, will also be part of your responsibilities to enhance system performance.

Responsibilities

  • Build core code for generating skill code and tasks.
  • Identify and conduct high-value experiments for improving software and team efficiency.
  • Write key prompts and prompt chains.
  • Design architecture improvements for RAG pipeline, code generation, and task execution.
  • Serve as a thought leader and strategy driver for the company in tandem with the CTO.
  • Work closely with customer integration engineer to plan and implement new skills for customers (with increasing efficiency).
  • Evaluate new LLM models and techniques (fine tuning, etc.) for improving system performance.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering or related technical discipline
  • 5+ years of relevant software engineering experience
  • 1+ years LLM prompting and prompt-chain writing experience
  • Exposure to machine learning
  • Experience working in a startup environment
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