Role OverviewJoin an established and well-respected organization offering tremendous career growth potential as a Prompt Engineer. Define and lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures across the organization.
What You Will Do
Define organization-wide standards, patterns, and reference architectures for LLM-based applications, design prompt structures, and architect agentic systems incorporating tool use, planning, memory, and multi-step reasoning.
Why It Might Be a Fit
The ideal candidate has shipped LLM-powered products in production, is fluent in prompt design patterns and agent architectures, and brings strong judgment about when and how to apply different LLM techniques responsibly.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, or a related field
- Ten or more years of software engineering experience, with significant time on LLM-based applications
- Demonstrated experience shipping LLM-powered products to production
- Deep familiarity with modern LLM APIs and agent frameworks
- Strong understanding of retrieval-augmented generation, embeddings, and vector databases
- Experience designing evaluation pipelines for non-deterministic systems
- Strong Python skills and comfort with modern application frameworks
- Solid grasp of responsible AI principles, including safety and policy considerations
- Excellent written and verbal communication skills
- Track record of mentoring engineers and influencing technical direction
Benefits
- Dental insurance
- Vision insurance
- Salary range: $100,000–$150,000 Annually
- Ten or more years of software engineering experience
- Demonstrated experience shipping LLM-powered products to production
- Deep familiarity with modern LLM APIs and agent frameworks
- Strong understanding of retrieval-augmented generation, embeddings, and vector databases
- Experience designing evaluation pipelines for non-deterministic systems
- Strong Python skills and comfort with modern application frameworks
- Solid grasp of responsible AI principles, including safety and policy considerations
- Excellent written and verbal communication skills
- Track record of mentoring engineers and influencing technical direction
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