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Director Prompt Engineer Jobs in Texas (NOW HIRING)

Matic

Full-Stack Engineer

Dallas, TX · On-site +1

If you thrive in dynamic environments and want your work to have a direct, meaningful impact on ... Develop and maintain LLM integrations, including prompt engineering, model routing, evaluation, and ...

Level

Senior Applied AI Engineer

Austin, TX · On-site

$103K - $142K/yr

... direct involvement. Qualifications : Required : • 7+ years professional experience as an Engineer ... ReAct, tool use with structured schemas, prompt chaining, routing, orchestrator-workers, evaluator ...

NAVA Software Solutions

Sr AI Agentic Engineer

Spring, TX · On-site

$93K - $127K/yr

... Duration: Full time /Direct Hire The Senior AI Agentic Engineer designs, builds, and ... Model Adaptation & Prompt Engineering * Evaluate and select frontier and open-source LLMs (e.g ...

Nava Software Solutions

Sr AI Agentic Engineer

Spring, TX · On-site

$88K - $121K/yr

... Duration: Full time /Direct Hire The Senior AI Agentic Engineer designs, builds, and ... Model Adaptation & Prompt Engineering * Evaluate and select frontier and open-source LLMs (e.g ...

Togetherwork

AI Solutions Engineer

Austin, TX · On-site

Direct experience building applications against LLM APIs such as Claude or OpenAI, including prompt design, iteration, and eval frameworks. * Prompt engineering as a discipline. You version prompts ...

INSPYR Solutions

Senior AI Agentic Engineer

Spring, TX · On-site

$93K - $127K/yr

Direct Hire Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Senior AI ... Model Adaptation & Prompt Engineering * Evaluate and select frontier and open-source LLMs (e.g ...

FHR

M724-UiPath Developer 65886

Dallas, TX · On-site

100% Remote. 7.5 hours per day must work in the CST Time Zone 8:00 AM-4:30 PM CST Our direct client ... Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques ...

Procore

Staff Security Engineer

Austin, TX · On-site

This position reports into the Senior Director, Security Engineering and will be based in our ... Analytical Rigor: A systems-thinking approach to security, with the ability to treat prompt ...

Procore

Staff Security Engineer

Austin, TX · On-site

This position reports into the Senior Director, Security Engineering and will be based in our ... Analytical Rigor: A systems-thinking approach to security, with the ability to treat prompt ...

Procore

Staff Security Engineer

Austin, TX · On-site

This position reports into the Senior Director, Security Engineering and will be based in our ... Analytical Rigor: A systems-thinking approach to security, with the ability to treat prompt ...

Procore

Staff Security Engineer

Austin, TX · On-site

This position reports into the Senior Director, Security Engineering and will be based in our ... Analytical Rigor: A systems-thinking approach to security, with the ability to treat prompt ...

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Showing results 41-60

All JobsPrompt Engineer JobsDirector Prompt Engineer JobsDirector Prompt Engineer Jobs in Texas

Director Prompt Engineer information

What is a director prompt engineer?

Director Prompt Engineers are professionals who oversee and lead teams in designing, developing, and refining prompts for artificial intelligence (AI) models, such as large language models. They are responsible for setting prompt engineering strategies, ensuring prompt quality, and collaborating with cross-functional teams to align AI outputs with business goals. Their role often includes managing prompt engineers, establishing best practices, and driving innovation in how AI systems interpret and respond to human input. Director Prompt Engineers play a critical role in shaping the effectiveness and accuracy of AI applications across various industries.

Are director prompt engineers still in demand?

Director prompt engineers are increasingly in demand as organizations seek expertise in designing and optimizing AI prompts for large language models. The role requires strong skills in AI, natural language processing, and strategic thinking, with demand driven by the growth of AI applications across industries.

What is the difference between Director Prompt Engineer vs Prompt Engineer?

AspectDirector Prompt EngineerPrompt Engineer
ResponsibilitiesOversees AI prompt strategies, manages teams, and aligns AI outputs with business goalsDesigns and develops prompts to optimize AI model responses
Required SkillsAdvanced AI knowledge, leadership, project managementStrong prompt design, AI understanding, technical writing
Work EnvironmentStrategic, managerial, cross-functional teamsTechnical, focused on prompt creation and testing
Industry UsageUsed in organizations integrating AI at a strategic levelCommon in AI development, research, and product teams

The main difference is that a Director Prompt Engineer leads AI prompt initiatives and manages teams, while a Prompt Engineer focuses on designing effective prompts. The director role involves strategic oversight, whereas the prompt engineer role is more technical and hands-on.

What skills and qualifications are needed to thrive as a director prompt engineer?

To thrive as a Director Prompt Engineer, you need deep expertise in natural language processing, AI model development, and prompt engineering, supported by an advanced degree in computer science or a related field. Proficiency with machine learning frameworks, prompt optimization tools, and familiarity with platforms like OpenAI API is essential, along with experience in managing technical teams. Exceptional communication, strategic thinking, and leadership skills help drive innovation and effectively guide cross-functional teams. These skills ensure the delivery of high-performing AI solutions and foster a collaborative environment for continuous improvement in prompt engineering.

How does a director prompt engineer collaborate with cross-functional teams to implement AI-driven solutions?

A Director Prompt Engineer regularly works with data scientists, product managers, software engineers, and UX designers to ensure that AI prompts align with business objectives and user needs. This collaboration often involves leading brainstorming sessions, reviewing prompt performance analytics, and iterating based on feedback from both technical and non-technical stakeholders. By maintaining clear communication and a shared vision across teams, the Director ensures that prompt engineering strategies are seamlessly integrated into product development cycles. This role also mentors team members and establishes best practices, fostering a culture of continuous learning and innovation.
What are the most commonly searched types of Prompt Engineer jobs in Texas? The most popular types of Prompt Engineer jobs in Texas are:
What are popular job titles related to Director Prompt Engineer jobs in Texas? For Director Prompt Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Director Prompt Engineer jobs in Texas look for? The top searched job categories for Director Prompt Engineer jobs in Texas are:
What cities in Texas are hiring for Director Prompt Engineer jobs? Cities in Texas with the most Director Prompt Engineer job openings:
Director Prompt Engineer jobs near you
Infographic showing various Director Prompt Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Full-Stack Engineer

Matic

Dallas, TX • On-site, Remote

Full-time

Re-posted 14 days ago

Job description

Matic is an AI-native clinical intelligence platform designed to orchestrate care-to-collection workflows the way clinicians actually practice. Through a growing suite of modular AI agentic solutions, Matic connects clinical documentation, summaries, coding, workflow, and follow-up into a unified and connected intelligence layer that preserves clinical intent, reduces fragmentation, and integrates seamlessly within existing physician systems.
To learn more about how Matic orchestrates intelligence across the care-to-collection lifecycle, visit maticinside.ai.
About the role
We're looking for a versatile Full-Stack Engineer who is comfortable owning work end-to-end - from polished SvelteKit UIs to Python/Node backend APIs to cloud infrastructure. A key part of this role will be leading application development for a new healthcare group partnership, where you'll take projects from zero to one: implementing UIs from Figma, defining database schemas, architecting cloud function infrastructure, and building integrations with the tools and systems our health group partners already use.
Beyond that greenfield work, you'll wear multiple hats across the broader Matic platform. Some days you will be building new product features, other days debugging an AI output quality issue with a physician or wiring up an EHR integration. If you thrive in dynamic environments and want your work to have a direct, meaningful impact on healthcare, this role is for you.
What you'll do
  • Lead new application development for healthcare group partnerships, generating AI mockups to communicate functionality and design direction, proposing database schemas, setting up cloud infrastructure, and building API integrations with existing partner tools and workflows - all in close collaboration with the Matic team.
  • Build and maintain full-stack features in our SvelteKit application, owning both front-end implementation and back-end APIs.
  • Deploy and maintain Google Cloud infrastructure across Cloud Run, Cloud Functions, and other GCP primitives in both Node.js and Python runtimes.
  • Develop and maintain LLM integrations, including prompt engineering, model routing, evaluation, and output quality testing across hosted and self-managed AI platforms.
  • Build agentic AI workflows that automate clinical documentation tasks and integrate our platform with EHR systems (e.g., Epic, eClinicalWorks, Athena) via FHIR and proprietary APIs.
  • Triage and resolve AI quality issues flagged by physicians, diagnosing failure modes in note generation and applying targeted fixes.
  • Write comprehensive tests and actively participate in QA to ensure our AI deployments work reliably in clinical settings.
  • Collaborate directly with physicians to understand clinical workflows firsthand and translate their feedback into product improvements.

Qualifications
Required
  • Strong Python and/or Node.js skills, including REST APIs, async patterns, and serverless functions
  • Production experience with SvelteKit and TypeScript
  • Proficiency with Tailwind CSS and the ability to translate Figma designs into polished UI
  • Hands-on experience with Google Cloud Platform, including Cloud Run, Cloud Functions, GCS, IAM, and related services
  • Firebase / Firestore experience
  • Practical experience working with LLM APIs (OpenAI, Anthropic, Gemini, or similar), including prompt engineering, function calling, and output evaluation
  • Rigorous attention to detail and a strong testing mindset; our systems operate in clinical environments where errors have real consequences, and we hold a strict "don't ship broken" standard regardless of how the code was written
  • Fluent English with clear written and verbal communication skills - essential when working directly with clinical users
Preferred
  • Experience with EHR integrations or FHIR standards
  • Background in or exposure to healthcare / clinical workflows
  • Familiarity with agentic frameworks
  • Experience with vector databases or RAG pipelines
  • Experience building instrumentation dashboards
  • Experience building test suites
  • Experience with AI-led workflows
  • Experience with deep product analytics
Why This Role?
  • The new healthcare partner application is greenfield, meaning you'll make the foundational decisions that shape what it becomes rather than inheriting someone else's architecture.
  • The features you build are used by physicians during patient encounters, the quality issues you fix affect real documentation, and the integrations you wire up reduce real administrative burden. The impact is direct and tangible.
  • From SvelteKit to GCP to LLM integrations to EHR APIs, this isn't a role where you specialize yourself into a corner. You'll develop depth across the full delivery surface of a modern AI platform.
  • Matic is a small, senior, focused team. There's no layer of abstraction between your work and the people who depend on it - internally or in the field.

Apply