Prompt Engineer

We are seeking a
Prompt Engineer design, test, and refine interaction patterns for generative AI systems used across our client engagements. This role is central to shaping how users experience AI-powered applications and ensuring that LLM outputs are relevant, reliable, safe, and aligned to mission needs. The Prompt Engineer will work closely with AI Developers,LLMOpsEngineers, Evaluation Scientists, and product/design teams to craft prompts, structure context, improve retrieval strategies, and create intuitive multi-turn interaction flows.

• Design, iterate, andoptimizeprompts, templates, and prompt chains that improve the accuracy, reasoning, and usability of generative AI outputs.
• Develop context management strategies, including document selection, summarization, formatting, role instructions, andretrievalaugmentation patterns.
• Partner with developers to implement prompt engineering techniques within RAG pipelines, agentic workflows, evaluation harnesses, andapplicationUX layers.
• Conduct structured experiments—including A/B tests and rubric-based evaluations to measure prompt performance andidentifyopportunities for improvement.
• Collaborate with AI Evaluation Scientists to defineevaluationmetrics tied to quality, relevance, consistency, safety, and hallucination reduction.
• Work closely with UX and product design teams to develop interaction flows that guide user inputs, clarify system capabilities, and reduce cognitive load.
• Help translate complex subject-matter content into structured, LLM-friendly formats that improve system reasoning and reduce error rates.
• Support the design of safe output behaviors by implementing guardrails, filtering strategies, and context constraints aligned with governance principles.
• Document prompt patterns, style guides, failure modes, and best practices for internal reuse and team enablement.
• Stay up to date on emerging prompting strategies (e.g.,CoT, self-critique, toolusescaffolding, function calling, agentic behaviors) and share insights with the team.
• You will contribute to the growth of our AI & Data Exploitation Practice!

• Ability to hold a position of public trust with the U.S. government.
• Bachelor’s degree in Computer Science, Linguistics, Cognitive Science, Data Science, ora related discipline.
• 5+ years of total experience.
• 2+ years of experience in AI/ML, NLP, content design, UX writing, or similar roles involving structured interaction design.
• Demonstrated experience designing and testing prompts forLLMs in real applications (GPT-style models, Claude, Gemini, Llama, etc.).
• Familiarity with RAG architectures, vector databases, embeddings, and context retrieval strategies.
• Strong analytical skills with the ability to run structured experiments, analyze model outputs, and document findings.
• Proficiency with Python and common AI frameworks (e.g.,Lang Chain,Llama Index) is preferred.
• Experience with UX design principles, information architecture, or conversational design is highly valuable.
• Understanding of responsible AI concepts, including safety, privacy, bias, and governance-aligned prompting strategies.
• Excellent written and verbal communication skills with the ability to translate domain-specific content into clear, effective AI instructions.
• Ability to collaborate across engineering, product, governance, and evaluation teams to shape coherent user-AI interactions.