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Prompt Engineering Jobs in Laurel, MD (NOW HIRING)

Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs ...

Optimize and adapt prompt engineering strategies to improve model performance and relevance. * Integrate and deploy models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML ...

Sr Java Developer with Agent AI

Bethesda, MD · On-site

$61.25 - $78.25/hr

Implement Prompt Engineering strategies to improve AI accuracy, response quality, and task automation. Build AI-powered workflow automation solutions, and autonomous agents. Integrate GenAI platforms ...

Machine Learning, Deep Learning, Neural Networks, Python, Natural Language Processing, Prompt Engineering, and Data Management and Preprocessing. Position Description: · Design and develop ...

Familiarity with LLM frameworks, prompt engineering, and AI tooling Top 3 Soft Skills: * Strong communications * Agile * Collaborative Company / Project Description / Business Driver Role Overview We ...

Sr. Software Developer

Vienna, VA · On-site

$150K - $165K/yr

Large Language Models (LLMs), AI agents, Prompt engineering best practices. * Build reusable and scalable application components that integrate with enterprise systems and third-party services.

Sr. Software Developer

Vienna, VA · Remote

$150K - $165K/yr

Large Language Models (LLMs), AI agents, Prompt engineering best practices.Build reusable and scalable application components that integrate with enterprise systems and third-party services.Develop ...

You would be the person who built their own AI agents before it was cool, who has strong opinions about prompt engineering, and who can architect systems that others haven't imagined yet. Embedded ...

Engineer

Mclean, VA · On-site

$100K - $120K/yr

Conduct evaluations, A/B tests, and model drift checks while applying prompt engineering and optimization techniques. • Collaborate and Ensure Responsible AI : Partner with cross-functional teams ...

Showing results 21-40

Prompt Engineering information

See Laurel, MD salary details

$32.2K

$62.4K

$94.7K

How much do prompt engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for prompt engineering in Laurel, MD is $62,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,600.00 and $71,400.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

What are the most commonly searched types of Prompt Engineering jobs in Laurel, MD?

The most popular types of Prompt Engineering jobs in Laurel, MD are:

What are popular job titles related to Prompt Engineering jobs in Laurel, MD?

For Prompt Engineering jobs in Laurel, MD, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in Laurel, MD look for?

The top searched job categories for Prompt Engineering jobs in Laurel, MD are:

What cities near Laurel, MD are hiring for Prompt Engineering jobs?

Cities near Laurel, MD with the most Prompt Engineering job openings:

Infographic showing various Prompt Engineering job openings in Laurel, MD as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $62,440 per year, or $30 per hour.

Other

Posted 12 days ago


Job description

Role: AI/ML Engineer
Experience: 10+ Years
Duration: 12 months
Location: MC Lean , VA

Skills: Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs

Responsibilities:

  • Design, develop, and deploy Machine Learning and AI solutions for business applications.
  • Build and optimize ML models for classification, regression, forecasting, recommendation, and NLP use cases.
  • Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
  • Work with Python, Pandas, NumPy, Scikit-learn, TensorFlow, and/or PyTorch.
  • Develop and integrate Generative AI and LLM-based solutions where applicable.
  • Work with OpenAI/LLM APIs, prompt engineering, embeddings, vector databases, and RAG architectures.
  • Build scalable ML pipelines using MLflow, Kubeflow, Databricks, AWS, Azure, or Google Cloud Platform.
  • Deploy models through REST APIs, Docker, Kubernetes, and cloud platforms.
  • Monitor model performance, data quality, drift, and production issues.
  • Collaborate with Data Engineers, Software Engineers, Data Scientists, Product Owners, and business stakeholders.
  • Perform model tuning, experimentation, validation, and performance optimization.
  • Implement MLOps practices for CI/CD, model versioning, experiment tracking, and automated deployment.
  • Ensure AI solutions meet requirements for security, scalability, reliability, and responsible AI.
  • Document models, architectures, workflows, and technical processes.

Required Skills

  • Python
  • Machine Learning
  • Deep Learning
  • Scikit-learn
  • TensorFlow / PyTorch
  • Pandas / NumPy
  • SQL
  • NLP / Computer Vision as applicable
  • Generative AI / LLM
  • Prompt Engineering
  • RAG
  • Vector Databases
  • REST APIs
  • Docker / Kubernetes
  • Cloud: AWS / Azure / Google Cloud Platform
  • Git
  • MLOps / MLflow