Top Prompt Engineering Jobs

Designs, tests, optimizes, and integrates prompts, AI workflows, and generative AI capabilities for enterprise applications. Evaluates model outputs, develops reusable prompt libraries, supports responsible AI governance, documents solutions, monitors production performance, and collaborates with engineering, QA, product, business, and security teams. The role also contributes to requirements, testing automation, continuous improvement, mentoring, and leading small AI-focused projects or workstreams.

Define and lead organizational strategies, patterns, tooling, and architectures for prompts, agentic workflows, and LLM applications. Ship production LLM-powered products, develop reusable evaluation frameworks and developer tools, and guide responsible AI implementation. The role requires expertise in LLM APIs, agent frameworks, retrieval-augmented generation, embeddings, vector databases, Python, evaluation of nondeterministic systems, and technical mentoring.

Define organization-wide standards and architectures for LLM applications, including prompt design, agentic workflows, retrieval-augmented generation, evaluation, safety, and developer tooling. Ship production LLM products, establish reusable patterns and guardrails, conduct technical reviews and red-teaming, optimize cost and quality, collaborate on fine-tuning, and mentor engineers and applied scientists.

Design, maintain, and optimize encoding libraries and prompt-structure abstractions used across Anthropic. The role involves supporting multimodal data, running experiments on structured inputs, performing complex refactors, improving performance, and adapting systems for emerging AI research and production needs. The engineer will collaborate closely with researchers and engineers while maintaining intuitive APIs and enabling new encoding capabilities.

Design, test, and optimize prompts for Generative AI systems across customer support, content generation, workflow automation, knowledge management, and productivity use cases. Evaluate AI outputs for accuracy, tone, usefulness, and consistency; document findings and maintain prompt libraries and standards. Collaborate with AI engineers, product teams, data scientists, and business stakeholders to translate requirements into prompting solutions while researching emerging AI tools and methodologies.

Leads organization-wide prompt engineering strategy, standards, governance, and optimization. Designs advanced prompts and reusable libraries for enterprise AI applications, establishes evaluation benchmarks and quality processes, analyzes model outputs, and drives performance improvements. Partners with executives, product managers, engineers, and business stakeholders to translate requirements into AI solutions. Mentors prompt engineers, evaluates emerging AI platforms, and supports innovation and enterprise AI transformation initiatives.

Designs, tests, optimizes, and manages prompts for large language models and AI applications. Develops reusable prompt templates, evaluates AI outputs, conducts A/B testing, monitors performance, and improves accuracy, consistency, and business relevance. Collaborates with AI engineers, product managers, trainers, and business stakeholders to translate requirements into prompting strategies. Researches generative AI advancements and contributes to prompt engineering standards, evaluation methods, and responsible AI practices.

Supports stakeholders in identifying AI adoption opportunities, designing and refining prompts, building AI-enabled workflows, validating outputs, and implementing practical generative AI solutions. The role includes requirements gathering, workflow automation, RAG and agentic AI exploration, prototyping, documentation, demonstrations, user training, and collaboration with technical teams on deployment and integration.

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 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.

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, 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.

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.

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.