Top Prompt Engineering Jobs

Lead strategy, patterns, and tooling for prompt design, agentic workflows, and LLM-based application architectures. Build reusable design patterns, evaluation frameworks, and developer tooling; ship LLM-powered products to production; apply responsible AI principles; mentor engineers and influence technical direction.

Design, configure, and optimize Oracle Cloud ERP modules and AI-driven workflows. Build and test prompts and agent automations, validate AI responses, maintain configurations, support SIT/UAT, and collaborate with functional teams to refine requirements and continuously enhance Oracle AI-driven processes.

Design, configure, and optimize Oracle Cloud ERP modules and AI‑driven workflows. Build and test prompts and agent automations, validate AI responses, maintain configurations, test scripts, and support continuous improvement across Finance, Supply Chain, HCM, Projects, and Technical Operations.

Lead development and optimization of prompt engineering strategies and RAG frameworks. Build Python-based AI applications using Azure OpenAI and AWS, manage AI project delivery, optimize ML models, and collaborate with cross-functional teams to integrate cloud-based AI solutions following Agile methodologies.

Lead design and standards for LLM-based applications: prompt patterns, agent architectures, RAG pipelines, evaluation frameworks, tooling, safety guardrails, model co-design, red-teaming, mentoring, and cross-team technical reviews to deploy robust production LLM systems.

As a Prompt Engineer, you'll shape how AI characters express themselves, collaborating with various teams to develop prompts, datasets, and evaluation frameworks. You'll manage both immediate product needs and long-term goals, ensuring bots engage users effectively through storytelling and interaction.

Design, optimize, and iterate multi-turn conversational flows for text and voice agents. Craft persona-driven prompts and multilingual templates, test with recordings and simulations, analyze live interactions to reduce hallucinations and improve tone, and collaborate with PMs and engineers to integrate prompts, maintain a versioned prompt library, and ensure compliance and privacy.

Design, test, and maintain reusable prompt templates for enterprise LLM use cases. Run A/B tests, collaborate with trainers and integrators to embed prompts into RAG and AI workflows, and keep prompt libraries updated with best practices and client guidelines.

Design, build, and maintain production-ready AI solutions, automations, and system integrations. Analyze workflows, implement secure RAG and AI assistants, develop API/webhook integrations, build internal apps and dashboards, ensure HIPAA-compliant data handling, monitor quality, test and document systems, and drive cross-functional adoption and measurable operational outcomes.

Design, author, and iteratively optimize LLM evaluation prompts for Five9 AQM; define evaluation scope and pass/fail criteria with customers; select and analyze call samples; measure precision/recall; maintain a versioned prompt library; collaborate with QA and implementation teams; debug prompt failures; develop standards, templates, and support pre-sales demonstrations.

Lead and establish Five9s AQM Prompt Engineering practice: define methodology and standards, build reusable prompt libraries, mentor a small team, lead complex customer engagements, validate prompts with sampling and precision/recall analysis, collaborate with product and pre-sales, and deliver training and enablement for prompt-driven QM deployments.

Design, test, and document prompts and prompt libraries to optimize AI language model outputs. Collaborate with product, data, and ML engineers to integrate prompt solutions, run A/B experiments, measure performance, and maintain versioned documentation. Support TIBCO-specific implementation and stay current on AI/NLP techniques.

Support CBP stakeholders to identify AI opportunities, design and refine prompts and AI-enabled workflows, prototype and validate AI outputs, train users, document use cases, and coordinate deployment and integration efforts to improve operational efficiency.

The role involves designing and implementing conversational AI systems, managing prompt orchestration, and ensuring conversational quality through advanced evaluation frameworks.

As an AI Prompt Engineer, you'll develop prompt templates, conduct A/B tests, collaborate with trainers, and maintain prompt libraries for generative AI applications.