Potomac Haven Inc.

Generative AI, Prompt Engineering Specialist

Potomac Haven Inc.

part-time

Posted on:

Location Type: Remote

Location: Washington • United States

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About the role

  • Provide platform, engineering, and enablement services to drive the adoption and utilization of Generative AI capabilities, fostering technological innovation and improving member experience through foundational AI capabilities.
  • Design, develop and deploy AI solutions with a focus on: clarify the problem, design the approach, write the prompts and prototype quickly.
  • Curate, process and augment high-quality multimodal data while integrating Retrieval-Augmented Generation (RAG) for robust model grounding and improved accuracy.
  • Implement retrieval-augmented workflows: grounding, chunking, indexing strategies, response synthesis, and guardrails for factuality and tone.
  • Orchestrate multi-step agents: task decomposition, tool-use design, memory and context strategies, and failure/retry logic for reliability.
  • Operationalize prompt systems: reusable prompt patterns, role/task separation, evaluation harnesses, and continuous refinement.
  • Leverage core engineering competencies in GPT algorithms, data ingestion for Large Language Models (LLMs), prompt engineering, and Natural Language Processing (NLP)/Chatbot interface construction.
  • Deploy solutions to a shareable environment for stakeholders.
  • Document decisions: assumptions, risks, test plans, and clear instructions so others can run, test, and extend prototypes.
  • Translate complex AI behavior into simple narratives and demos. Gather feedback from non-technical stakeholders and close the loop with measurable improvements.

Requirements

  • About 3 years building AI-powered products or prototypes with hands-on ownership from concept to demo.
  • Proven track record of use of GenAI Copilot, ChatGPT, Anthropic to drive productivity initiatives across the organization with clear value metrics.
  • Hands-on experience building production grade AI agents using industry leading platforms.
  • Demonstrated excellence in prompt writing across text, image, and multimodal use cases.
  • Strong grasp of RAG, agentic methods, and iterative evaluation.
  • Hands-on experience to drive model accuracy, minimize hallucinations, and ground the model in facts, specifically when building AI agents.
  • Degree in the field of AI or similar (Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field).
  • Prior work experience in consulting or advisory services.
  • Should be ready to demonstrate skills and competency during the interview process.
Benefits
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Generative AIAI solutions designRetrieval-Augmented Generation (RAG)prompt engineeringNatural Language Processing (NLP)data ingestion for Large Language Models (LLMs)AI agent developmentmultimodal data processingtask decompositionevaluation harnesses
Soft Skills
communicationcollaborationproblem-solvingfeedback gatheringdocumentationiterative evaluationadaptabilityinnovationclarity in complex conceptsstakeholder engagement