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Entry Level Prompt Engineering Jobs in Washington

... engineering, construction management, or another related field and is willing to travel and work ... This position is perfect for someone seeking entry-level project management experience with an ...

... engineering, construction management, or another related field and is willing to travel and work ... This position is perfect for someone seeking entry-level project management experience with an ...

... engineering, construction management, or another related field and is willing to travel and work ... This position is perfect for someone seeking entry-level project management experience with an ...

... engineering, construction management, or another related field and is willing to travel and work ... This position is perfect for someone seeking entry-level project management experience with an ...

... engineering, construction management, or another related field and is willing to travel and work ... This position is perfect for someone seeking entry-level project management experience with an ...

Helpdesk Technician

Fairfax, VA · On-site

$19.75 - $26.75/hr

This is an entry-level role ideal for candidates who are eager to grow their technical skills while ... developers, and business stakeholders to ensure prompt issue resolution. * Monitor ticket queues ...

... engineering, construction management, or another related field and is willing to travel and work ... This position is perfect for someone seeking entry-level project management experience with an ...

Entry Level Prompt Engineering information

See Washington salary details

$34K

$78.6K

$133.6K

How much do entry level prompt engineering jobs pay per year?

As of Jun 15, 2026, the average yearly pay for entry level prompt engineering in Washington is $78,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $88,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry level prompt engineers, and how can they overcome them?

Entry level prompt engineers often encounter challenges such as crafting effective prompts that yield accurate and unbiased responses from AI models, and understanding the nuances of model behavior. Working closely with data scientists and senior prompt engineers can help new hires learn best practices for prompt iteration and troubleshooting. Regular feedback sessions, collaborative prompt reviews, and ongoing experimentation are key to improving prompt design skills. Embracing a growth mindset and staying updated on advancements in language models will also help entry level prompt engineers excel in their roles.

What is the difference between Entry Level Prompt Engineering vs Entry Level Data Scientist?

AspectEntry Level Prompt EngineeringEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related fields; basic understanding of AI modelsBachelor's in CS, Statistics, or related fields; knowledge of programming and statistics
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Industry UsageAI development, chatbot design, NLP applicationsData analysis, predictive modeling, machine learning projects
Search & Comparison IntentUnderstanding entry-level roles in AI prompt designEntry-level roles in data analysis and modeling

Entry Level Prompt Engineering focuses on designing effective prompts for AI models, requiring knowledge of NLP and AI tools. Entry Level Data Scientist involves analyzing data, building models, and deriving insights. Both roles often require similar educational backgrounds but differ in daily tasks and industry applications.

What are the key skills and qualifications needed to thrive as an Entry Level Prompt Engineer, and why are they important?

To thrive as an Entry Level Prompt Engineer, you need a foundational understanding of natural language processing, basic programming skills (often Python), and familiarity with AI concepts, typically supported by a degree in computer science or a related field. Experience with tools like OpenAI's GPT, prompt design platforms, and version control systems such as Git is commonly required. Strong analytical thinking, creativity, and clear communication help differentiate top performers in this role. These skills are crucial for designing effective prompts, optimizing model outputs, and collaborating with cross-functional teams to deliver impactful AI solutions.

What is an entry level prompt engineer?

An entry level prompt engineer is a professional who designs, tests, and refines prompts for artificial intelligence (AI) systems, especially large language models like ChatGPT. Their role involves crafting clear and effective instructions to help AI generate accurate and useful responses. At the entry level, prompt engineers may assist in analyzing outputs, experimenting with prompt variations, and collaborating with developers or data scientists to improve AI performance. This position typically requires strong communication skills, attention to detail, and an interest in AI technology.
What are the most commonly searched types of Prompt Engineering jobs in Washington? The most popular types of Prompt Engineering jobs in Washington are:
What are popular job titles related to Entry Level Prompt Engineering jobs in Washington? For Entry Level Prompt Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Prompt Engineering jobs in Washington look for? The top searched job categories for Entry Level Prompt Engineering jobs in Washington are:
What cities in Washington are hiring for Entry Level Prompt Engineering jobs? Cities in Washington with the most Entry Level Prompt Engineering job openings:
Infographic showing various Entry Level Prompt Engineering job openings in Washington as of June 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 100% In-person job distribution, with an average salary of $78,559 per year, or $37.8 per hour.
Federal AI Solutions Engineer (Entry Level)

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc.

Mclean, VA

$85K - $105K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.

The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.

This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.

Key Responsibilities

AI Solution Development

  • Assist in the design, development, and deployment of AI-powered applications and prototypes using:
    • AWS Bedrock
    • Azure OpenAI
    • LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
  • Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
  • Support integration of AI solutions with APIs, enterprise systems, and cloud services.

Cloud Engineering

  • Build and maintain cloud-based environments in AWS and Azure.
  • Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
  • Support containerized deployments using ECS, EKS, or AKS.
  • Participate in CI/CD implementation and cloud automation efforts.

Technical Support & Innovation

  • Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
  • Assist in developing reusable templates, accelerators, and reference architectures.
  • Participate in rapid prototyping efforts that demonstrate mission value for federal customers.

Collaboration & Knowledge Sharing

  • Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
  • Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
  • Stay current with emerging AI, machine learning, and cloud technologies.

Security & Compliance

  • Support implementation of solutions that align with:
    • NIST AI Risk Management Framework (AI RMF)
    • FedRAMP requirements
    • Zero Trust principles
    • Secure coding and responsible AI practices

Required Qualifications

Education (Required)

Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.

Experience

  • 0-2 years of professional software engineering, AI/ML, or cloud development experience.
  • Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
  • Demonstrated programming experience in Python through coursework, projects, internships, or employment.

Technical Skills

  • Foundational understanding of machine learning, generative AI, and large language models.
  • Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
  • Familiarity with:
    • REST APIs
    • Git version control
    • Containerization concepts
    • Data pipelines and databases
  • Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
  • Strong analytical and problem-solving skills.

Certifications

One of the following is preferred within the first year of employment:

  • AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
  • Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)

Preferred Qualifications

  • Academic or project experience with:
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
  • Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
  • Experience building AI, machine learning, or cloud-based capstone projects.
  • Familiarity with DevOps, MLOps, or CI/CD concepts.
  • Interest in federal government missions and emerging AI technologies.

Compensation

Salary Range

$85,000 - $105,000 annually

Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.

Benefits

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off and Federal Holidays
  • Professional Development and Certification Reimbursement
  • Career Growth and Mentorship Opportunities