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Senior Prompt Engineering Jobs in Fort Mill, SC (NOW HIRING)

Eliassen Group

Senior AI Engineer

Charlotte, NC · On-site

$55 - $60/hr

On-site 4/1 in Charlotte, NC Our client seeks a Senior AI Engineer to lead IVR and conversational ... Design and deploy LLM workflows including prompt engineering, RAG, and evaluation for voice and ...

Apptad, Inc.

Senior AI Automation Engineer

Fort Mill, SC · On-site

$97K - $127K/yr

Job Title: Senior AI Automation Engineer Location: Fortmill, SC (Onsite) Duration: Contract ... Strong understanding of prompt engineering, RAG, vector databases, and AI workflow design.

Lorven Technologies

Senior AWS GenAI

Charlotte, NC · On-site

$102K - $140K/yr

You should perform prompt engineering to optimize LLM performance across multiple use cases. * Fine-tune foundation models and conduct model evaluation for production readiness. * You should ensure ...

Saransh Inc

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

... prompt engineering frameworks 3. Participate in cross-functional GenAI initiatives and PoC's across entire software lifecycle / Responsibilities: * Seeking a visionary and experienced Senior ...

Tror AI for everyone

Software Engineer

Charlotte, NC · On-site

Job Position: - Senior Software Engineer Job Location: - Charlotte, NC (100% onsite) Job Type ... Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts.

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All JobsPrompt Engineering JobsSenior Prompt Engineering JobsSenior Prompt Engineering Jobs in Fort Mill, SC

Senior Prompt Engineering information

See Fort Mill, SC salary details

$52.3K

$111.2K

$161.3K

How much do senior prompt engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior prompt engineering in Fort Mill, SC is $111,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,100.00 per year, depending on experience, location, and employer.

What is a senior prompt engineer?

A Senior Prompt Engineer is a specialist who designs, develops, and optimizes prompts to interact effectively with artificial intelligence language models, such as ChatGPT or other generative AI systems. They leverage deep understanding of AI behavior and natural language processing to create instructions that yield accurate, relevant, and safe outputs. Senior Prompt Engineers may also lead teams, establish best practices, and collaborate with product, engineering, and research teams to improve AI performance and user experience.

What are the key skills and qualifications needed to thrive as a senior prompt engineer, and why are they important?

To excel as a Senior Prompt Engineer, you need strong expertise in natural language processing (NLP), machine learning principles, and experience with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and prompt design tools is essential, as are any relevant certifications in AI or data science. Exceptional analytical thinking, creativity, and communication skills help in crafting effective prompts and collaborating with cross-functional teams. These competencies ensure the development of high-quality AI solutions that meet user requirements and drive innovation.

What are some common challenges faced by senior prompt engineers when collaborating with cross-functional teams?

Senior Prompt Engineers often work closely with data scientists, product managers, and software engineers to develop effective AI prompts. A common challenge is ensuring clear communication about technical constraints and user requirements, as team members may have varying levels of familiarity with prompt engineering concepts. Balancing creativity with practical limitations—such as model capabilities and ethical guidelines—requires active collaboration and adaptability. Additionally, aligning prompt design with evolving project goals can be complex, so strong project management and interpersonal skills are essential for success in this role.

What is the difference between Senior Prompt Engineering vs Prompt Engineer?

AspectSenior Prompt EngineeringPrompt Engineer
CredentialsTypically requires experience in AI, NLP, and related certificationsEntry to mid-level skills in AI and prompt design
Work EnvironmentAdvanced projects, leadership roles, strategic planningHands-on prompt creation, testing, and optimization
Industry UsageUsed in organizations developing AI models and NLP applicationsCommon in AI startups, research labs, and tech companies

Senior Prompt Engineering involves leading complex AI projects, designing advanced prompts, and mentoring teams, while Prompt Engineers focus on creating and refining prompts for specific applications. The senior role requires more experience and strategic oversight, whereas the prompt engineer role is more hands-on and task-focused.

Are senior prompt engineers still in demand?

Senior prompt engineers are increasingly in demand as organizations seek expertise in designing effective prompts for AI models like GPT. Their skills in natural language processing, machine learning, and AI tool integration are valuable across industries, and demand is expected to grow with the expansion of AI applications.

What are popular job titles related to Senior Prompt Engineering jobs in Fort Mill, SC?

For Senior Prompt Engineering jobs in Fort Mill, SC, the most frequently searched job titles are:

What job categories do people searching Senior Prompt Engineering jobs in Fort Mill, SC look for?

The top searched job categories for Senior Prompt Engineering jobs in Fort Mill, SC are:

Senior Prompt Engineering jobs near you

Senior Consultant - Full Stack AI Engineering

Ember Group Consulting

Charlotte, NC • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

We are seeking an experienced Full Stack AI Engineering Senior Consultant to design, build, and deploy enterprise-grade capabilities. This role combines full stack engineering, AI/ML development, agentic AI technologies, cloud architecture, and client-facing consulting.

The ideal candidate will have strong experience developing AI based applications, building and tuning AI agents, deploying solutions within enterprise environments, and leveraging cloud platforms such as AWS and Google Cloud. Experience with HRM/HCM SaaS platforms, user experience design, and AI solution deployment is highly preferred.

Key Responsibilities

Full Stack Development

  • Collaborate with clients and business stakeholders to understand requirements and translate them into scalable technical solutions.
  • Design, develop, and maintain modern AI based applications utilizing front-end and back-end technologies.
  • Build reusable, secure, and scalable APIs, MCP services, Webhooks and microservices.
  • Develop front-end applications that effectively integrate with enterprise APIs and AI services.
  • Create technical documentation, architecture diagrams, and implementation guides.

AI & Agent Development

  • Design, develop, deploy, and optimize AI agents and agentic workflows for enterprise use cases.
  • Build, fine-tune, evaluate, and maintain AI-powered applications using Large Language Models (LLMs).
  • Implement Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and agent orchestration frameworks.
  • Monitor agent performance and continually improve accuracy, reliability, and business outcomes.
  • Integrate AI agents with enterprise systems, applications, and business processes.

Cloud & DevOps

  • Deploy and manage applications across AWS and Google Cloud Platform (GCP).
  • Publish and maintain code repositories using Git-based version control and enterprise development standards.
  • Develop CI/CD pipelines and automate application deployment, testing, and monitoring.
  • Utilize containerization and orchestration technologies including Docker and Kubernetes.
  • Ensure system security, scalability, availability, and performance.

Data & Analytics

  • Develop dashboards, visualizations, and reports to support business decision-making.
  • Analyze complex datasets to identify business trends and optimization opportunities.
  • Apply statistical modeling and machine learning techniques to improve business outcomes.

Consulting & Leadership

  • Provide technical leadership, mentoring, and coaching to client development teams.
  • Communicate complex technical concepts to both technical and non-technical stakeholders.
  • Lead architecture discussions, design reviews, and solution recommendations.

Stay current with emerging technologies in AI, machine learning, cloud platforms, and software development.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • 5+ years of experience in full stack software development.
  • Strong proficiency in Python and modern software development practices.
  • Experience designing and developing web-based applications and enterprise solutions.
  • Expertise in front-end technologies such as React, Angular, Vue.js, JavaScript, and TypeScript.
  • Experience with back-end technologies including Python, Node.js, Java, or .NET.
  • Strong experience designing and developing RESTful APIs and GraphQL services.
  • Knowledge of SQL and NoSQL databases and data modeling principles.
  • Experience with Git repositories and enterprise software development lifecycle practices.
  • Hands-on experience with Docker and Kubernetes.
  • Experience with AWS services and cloud-native application development.
  • Strong problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
  • Experience developing, tuning, and deploying AI agents in enterprise environments.
  • Hands-on experience with Generative AI, LLMs, Agentic AI frameworks, LangChain, LangGraph, RAG, and prompt engineering.
  • Google Cloud Platform (GCP) certification and experience with Vertex AI or related AI services.
  • Experience deploying AI/ML solutions into production environments.
  • Knowledge of MLOps practices and model lifecycle management.
  • Experience with HRM (Human Resource Management) and HCM (Human Capital Management) systems and web interfaces.
  • Experience using Axure for wireframing, prototyping, and user experience design.
  • Consulting experience within large enterprise environments.
Why Ember?

We're a boutique management consulting firm trusted by executive leadership teams to lead complex transformation initiatives where execution, change leadership, and strategic partnership matter most. Our consultants don't simply fill roles; they become trusted advisors embedded within some of our clients' most visible enterprise initiatives.

We're intentionally building a different kind of consulting firm, one where talented people have the opportunity to shape client relationships, influence strategy, and grow alongside experienced consulting leaders in a highly collaborative, entrepreneurial environment.

  • Competitive compensation
  • Medical, dental & vision insurance
  • 401(k) with company match
  • Paid holidays
  • Paid time off
  • Long-term career growth with Ember
  • Opportunity to support additional strategic consulting engagements as our firm continues to scale
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