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Prompt Engineer Jobs in Columbia, SC (NOW HIRING)

Varsity Tutors

Claude Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context processing, analytical reasoning, code generation, document analysis, creative writing assistance, and ...

Mentis Systems

Engineering Program Manager

Sumter, SC · On-site

$103K/yr

From the design and engineering stages to the manufacturing and marketing of billions of MedTech ... prompt and efficient completion. Additionally, the Program Manager regularly communicates program ...

Td

Data Scientist III - FCRM

Lexington, SC · On-site

$96K - $155K/yr

Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt engineering, and AI-powered business solutions. * AML, Financial Crime, Compliance, Audit, Risk, or ...

Varsity Tutors

Vibe Coding Tutor

Columbia, SC · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... non-programmers building first applications through developers integrating AI into existing ...

Varsity Tutors

Lovable Tutor

Columbia, SC · Remote

$18 - $40/hr

Adapts instruction using guided app building projects, prompt refinement exercises, and deployment walkthroughs to support non-technical users and developers seeking rapid application prototyping and ...

Stonemark Management

Be Seen First

Service Technician (HVAC Certified)

Columbia, SC · On-site

Provides service to residents in a prompt and professional manner. Provides repair work on vacant ... Programmable logic controllers: 1 year (Preferred) * Mechanical knowledge: 1 year (Preferred ...

Hillpointe

Maintenance Technician

Columbia, SC · On-site

Ranked at the top of NMHC's list of Builders and Developers, our team ensures best-in-class ... Adhering to safety protocols and regulations, participation in safety meetings, and prompt ...

Hillpointe

Maintenance Technician

Columbia, SC · On-site

Ranked at the top of NMHC's list of Builders and Developers, our team ensures best-in-class ... Adhering to safety protocols and regulations, participation in safety meetings, and prompt ...

F.H. Paschen

Senior Project Manager

Columbia, SC · On-site

$120 - $180/hr

... s), Project Engineer(s), Administrative Staff and Field Personnel * Work with General ... Insure prompt billing and payments to owners * Monitor payments from owners and payments to ...

F.H. Paschen

Senior Project Manager

Columbia, SC · On-site

... s), Project Engineer(s), Administrative Staff and Field Personnel * Work with General ... Insure prompt billing and payments to owners * Monitor payments from owners and payments to ...

F.H. Paschen

Senior Project Manager

Columbia, SC

... s), Project Engineer(s), Administrative Staff and Field Personnel * Work with General ... Insure prompt billing and payments to owners * Monitor payments from owners and payments to ...

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All JobsPrompt Engineer JobsPrompt Engineer Jobs in Columbia, SC

Prompt Engineer information

See Columbia, SC salary details

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$38

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How much do prompt engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for prompt engineer in Columbia, SC is $38.45, according to ZipRecruiter salary data. Most workers in this role earn between $29.23 and $49.66 per hour, depending on experience, location, and employer.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What are the most commonly searched types of Prompt Engineer jobs in Columbia, SC?

The most popular types of Prompt Engineer jobs in Columbia, SC are:

What are popular job titles related to Prompt Engineer jobs in Columbia, SC?

For Prompt Engineer jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Prompt Engineer jobs in Columbia, SC look for?

The top searched job categories for Prompt Engineer jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Prompt Engineer jobs?

Cities near Columbia, SC with the most Prompt Engineer job openings:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Columbia, SC as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $79,972 per year, or $38.4 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Columbia, SC • On-site

$110 - $170/hr

Other

Re-posted 7 days ago

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real‑time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you’ll work across
  • Streaming, low‑latency speech‑to‑speech systems built on modern LLMs
  • Telephony and real‑time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency‑sensitive path, where p99 matters and a stall is something a caller hears
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi‑model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM‑as‑judge and automated agent‑tests‑agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (non‑LLM) machine learning
  • End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real‑world data; calibration and explainability for non‑technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines
Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least‑privilege access, strict data‑handling discipline
  • Observability and telemetry‑driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

Occasional full‑stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you’ll actually do
  • Ship and debug code on a live, real‑time voice pipeline where latency and correctness are user‑facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch‑analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor
Must‑haves
  • 7+ years building and operating production backend systems, with strong general‑purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands‑on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data
Nice‑to‑haves
  • Real‑time media or telephony experience
  • Front‑end / full‑stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)
How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

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