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Remote Prompt Engineering Jobs in Louisiana (NOW HIRING)

Engineering Team Lead

Baton Rouge, LA · On-site +1

$150K - $160K/yr

Remote - USA Compensation: $150,000 - $160,000 / year Description You will lead a small team of ... Experience building or evaluating LLM-powered product features - prompt design, evals, guardrails.

New

Applied experience with LLM integration, prompt engineering, function calling, and building or ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

Engineering Team Lead

Baton Rouge, LA · Remote

$150K - $160K/yr

Experience building or evaluating LLM-powered product features -- prompt design, evals, guardrails ... Ability to work fully remote * Company supplied device/laptop

New

Please note that this is a remote position available only to candidates based in El Paso, TX or ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Remote Prompt Engineering information

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are the most commonly searched types of Prompt Engineering jobs in Louisiana?

The most popular types of Prompt Engineering jobs in Louisiana are:

What are popular job titles related to Remote Prompt Engineering jobs in Louisiana?

For Remote Prompt Engineering jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Remote Prompt Engineering jobs in Louisiana look for?

The top searched job categories for Remote Prompt Engineering jobs in Louisiana are:

What cities in Louisiana are hiring for Remote Prompt Engineering jobs?

Cities in Louisiana with the most Remote Prompt Engineering job openings:

Infographic showing various Remote Prompt Engineering job openings in Louisiana as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

AI & Automation Solutions Specialist

RESTECH INFORMATION SERVICES

Metairie, LA • Remote

Full-time

Re-posted 25 days ago


Job description

Description

Position Summary

We are seeking an AI & Automation Solutions Specialist who can design, build, and implement scalable systems across the galaxy. This is a technical and client-facing role for someone who can navigate business processes like a pilot through an asteroid field. You will identify automation opportunities, educate clients on AI adoption, and turn business needs into practical technology solutions-ensuring our clients never feel like they are stuck in a "Kobayashi Maru" no-win scenario.

The ideal candidate is comfortable working with AI assistants, workflow platforms, and APIs. We need someone who can guide clients from discovery to implementation, ensuring their AI journey doesn't end up like a thermal exhaust port oversight.

Key Responsibilities

Client-Facing AI & Automation Consulting

  • Meet with clients to understand workflows and pain points; essentially, perform a Vulcan Mind Meld to translate business      requirements into technical solution designs.
  • Educate clients on AI use cases in clear, business-friendly language-no need for Binary or Klingon here.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.

Conversational AI & Persona Engineering

  • Design and implement AI assistants and voice solutions. You aren't just building a droid; you're building a personality.
  • Build AI personas that align with brand tone and service expectations. Whether the client needs a protocol droid or a      Starfleet computer, you'll set the behavior guidelines.
  • Configure phone-based AI systems with reliable branching logic to ensure callers never feel like they're trapped in a tractor beam.

Automation Architecture & Workflow Design

  • Design and manage workflows that connect business systems and reduce manual effort.
  • Build scalable automations that can be monitored and improved over time-think "Engage" rather than "Wait."
  • Design error handling and escalation paths so that a single glitch doesn't lead to a total systems failure.

Endpoint Automation & Systems Management

  • Build automation within endpoint management environments to reduce technician workload.
  • Design automated monitoring and remediation workflows; your goal is to make the systems as self-sustaining as a Federation starship.
  • Create scripts and task sequences to automate local and remote actions.

Systems Integration & API Management

  • Design and document integrations between third-party and proprietary systems using APIs, webhooks, and payloads.
  • Configure secure connections using modern authentication.
  • Troubleshoot integration failures and data synchronization problems with the precision of a targeting computer.

Data Reliability, Testing & Documentation

  • Maintain data accuracy across platforms.
  • Test AI and automation solutions before deployment; we refer to find the "thermal exhaust port" before the client does.
  • Create technical documentation and reusable automation templates.

Requirements

Required Skills & Experience

  • Experience designing and building automation workflows.
  • Ability to work directly with clients in discovery and implementation settings.
  • Understanding of AI assistants, LLMs, and prompt engineering.
  • Scripting experience in one or more common languages.
  • Strong documentation skills; your reports should be as clear as a Captain's Log.
  • Ability to explain technical solutions in simple language.

Preferred Technical Competencies

  • AI assistant and Voice AI architecture.
  • Prompt engineering and AI persona development.
  • Endpoint automation and systems management.
  • API development and secure authentication.
  • Process improvement and technical documentation.

Platform Experience Preferred

  • Endpoint management and remote automation platforms.
  • Workflow automation and middleware.
  • Voice AI and conversational AI platforms.
  • CRM, PSA, and ticketing systems.
  • API testing and development tools.

Ideal Candidate Profile

The ideal candidate is a builder, a problem-solver, and a client educator. They understand how businesses operate and can identify where AI creates measurable value.

This person should be able to sit with a client, map a manual process, and build a solution that works. You should be comfortable in fast-moving environments where technology evolves at warp speed.

Success in This Role Looks Like

  • Clients understand how AI and automation can improve their business.
  • Manual processes are converted into reliable, documented workflows.
  • AI assistants and voice solutions are deployed with clear business value.
  • Internal teams have clear documentation and repeatable standards.
  • Client systems communicate securely and reliably, keeping the peace across the digital frontier.