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Prompt Engineer Jobs in Laurel, MD (NOW HIRING)

Engineer

Mclean, VA · On-site

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

This role will focus on Amazon Bedrock Agent configuration, prompt engineering, knowledge base development, coaching ruleset design, QA scoring rubric implementation, and continuous model evaluation.

AI Engineer

Washington, DC · Remote

$41.85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design and optimize prompts using prompt engineering techniques for LLMs to achieve desired outcomes * Work with Large Language Models (LLMs) such as Claude, GPT, Gemini, Llama, etc. via APIs or ...

New

AI Engineer

Washington, DC · On-site

$52.85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design and optimize prompts using prompt engineering techniques for LLMs to achieve desired outcomes * Work with Large Language Models (LLMs) such as Claude, GPT, Gemini, Llama, etc. via APIs or ...

New

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 ...

Prompt engineering: Crafting and refining prompts to guide generative models to produce desired outputs, often for specific applications (e.g., content creation, code generation, design). \n * Build ...

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

AI Engineer

Rockville, MD · On-site

$140K/yr

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

Develop prompt engineering frameworks and AI agents. Fine-tune and customize foundation models based on business requirements. Implement guardrails, governance, and responsible AI practices. Deploy ...

AI Engineer

Rockville, MD · Remote

$140K/yr

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

Showing results 21-40

Prompt Engineer information

See Laurel, MD salary details

$10

$46

$87

How much do prompt engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for prompt engineer in Laurel, MD is $46.84, according to ZipRecruiter salary data. Most workers in this role earn between $35.62 and $60.48 per hour, depending on experience, location, and employer.

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.

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.

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.

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 exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance.

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

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

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

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

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

Infographic showing various Prompt Engineer job openings in Laurel, MD as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $97,430 per year, or $46.8 per hour.

Software Engineer | Secure AI

Bestgate Engineering

Columbia, MD

Full-time

Re-posted 16 days ago


Job description

THE OPPORTUNITY

Bestgate Engineering is hiring for multiple software engineering opportunity at the intersection of backend engineering and applied AI. The role is not about training foundation models; it is about building the secure "paved road" that lets enterprise systems use AI safely, repeatably, and with the right guardrails.

WHAT YOU WILL DO
  • Design and build internal APIs, middleware, routing layers, and reusable services for secure AI integration.
  • Develop Model Context Protocol (MCP) servers and reusable AI skills that connect models to databases, microservices, and external APIs.
  • Implement enterprise guardrails for privacy, sensitive data handling, prompt injection defense, and output validation.
  • Build and test software patterns for non-deterministic AI outputs and agent-like workflows.
  • Work across backend services, applied AI patterns, and secure software delivery practices.
WHAT MAKES YOU COMPETITIVE
  • U.S. citizenship and ability to obtain a U.S. Government security clearance.
  • Strong Java software engineering experience, including modern frameworks and libraries such as Spring or Guava.
  • Experience designing enterprise APIs, RESTful services, and microservice architectures.
  • Familiarity with applied AI concepts such as prompt engineering, tool use, function calling, and Retrieval-Augmented Generation.
  • Comfort with Git, Nexus, Maven, Linux command line workflows, and agile delivery.
  • Strong troubleshooting, testing, and communication skills.
NICE TO HAVE
  • Spring AI, LangChain4j, LangChain, LlamaIndex, vector databases, semantic caching, or AI observability tools.
  • NiFi, Kafka, AWS, Kubernetes, SQL/NoSQL databases, Python scripting, or Big Data platform exposure.
  • DoD 8140/8570 certification readiness if required by the customer.
BEST FIT

Best fit for a backend engineer who wants to make AI usable in real enterprise systems without compromising security or engineering discipline.