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Senior Prompt Engineering Jobs in Virginia (NOW HIRING)

Mind Ware Inc

Senior Java Full Stack Developer

Mclean, VA · On-site

$115K - $120K/yr

Senior Full Stack Developer Job Location: Mc Lean, VA Job Type: Hybrid (5 days on-site), FTE ... Exposure to Generative AI and prompt engineering is a plus. Experience and Qualifications 10+ years ...

Interon IT Solutions

Senior Salesforce Developer

Reston, VA · On-site

$130K - $159K/yr

Senior Salesforce Developer Contract: W2 Only Location: Reston VA OR Plano TX- 3 days in office ... Implement custom objects, versioning models, and secure role‑based access AI & Prompt Engineering ...

Nastech Global

Senior AI/ML/Python Engineer

Reston, VA · On-site

Job Title: Senior AI/ML/Python Engineer Location: Onsite in Reston, VA - 3 days a week Job Type ... prompt engineering techniques. • Strong understanding of financial data, KPIs, and reporting ...

Mindlance

Senior Python Developer

Mclean, VA · On-site

$124K - $167K/yr

Senior Python Developer Location: 6 Months Duration: Mclean, VA 22102 Fully Onsite: M-F Must Have ... prompt engineering, model/tool evaluation, and integrating AI capabilities into workflows or ...

Peraton

Senior AI Engineer

Reston, VA · Remote

$127K - $168K/yr

Responsibilities Overview Peraton is seeking a Senior AI Engineer to to design and build production ... Prompt engineering, prompt chaining, and reusable prompt architectures * Evaluation frameworks for ...

Peraton

Senior AI Engineer

Reston, VA · Remote

$127K - $168K/yr

Responsibilities Overview Peraton is seeking a Senior AI Engineer to to design and build production ... Prompt engineering, prompt chaining, and reusable prompt architectures * Evaluation frameworks for ...

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Senior Prompt Engineering information

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.

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 most commonly searched types of Prompt Engineering jobs in Virginia? The most popular types of Prompt Engineering jobs in Virginia are:
What are popular job titles related to Senior Prompt Engineering jobs in Virginia? For Senior Prompt Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Senior Prompt Engineering jobs in Virginia look for? The top searched job categories for Senior Prompt Engineering jobs in Virginia are:
What cities in Virginia are hiring for Senior Prompt Engineering jobs? Cities in Virginia with the most Senior Prompt Engineering job openings:
Senior Prompt Engineering jobs near you

Senior Java Full Stack Developer

Mind Ware Inc

Mclean, VA • On-site

$115K - $120K/yr

Other

Posted 5 days ago

Job description

Job Title: Senior Full Stack Developer
Job Location: Mc Lean, VA
Job Type: Hybrid (5 days on-site), FTE (Full-Time Employment)
Salary: $115K - $120K
NO H1Bs / OPTs / / L2.
 
 Job Description
We are seeking a Senior Java Full Stack Developer with strong backend expertise in Java 17 and Spring Boot, along with solid frontend skills in Angular and TypeScript.
The ideal candidate will have proven experience building and operating enterprise-grade microservices at scale.
This role requires hands-on experience with cloud modernization, containerization, CI/CD, observability, and production incident troubleshooting.
Experience in the mortgage domain, particularly in loans and appraisals, is preferred.
Exposure to Generative AI and prompt engineering is a plus.
 
Experience and Qualifications
10+ years of hands-on full stack development experience delivering enterprise-grade applications.
Strong backend development expertise in Java 17, Spring Boot, and REST APIs.
Solid frontend development experience with Angular, TypeScript, HTML5, and CSS3.
Experience building and managing microservices in distributed and cloud-native environments.
Hands-on knowledge of Docker, Kubernetes, CI/CD pipelines, and observability practices.
Experience with performance engineering and troubleshooting production incidents.
Familiarity with PostgreSQL, MongoDB, Hibernate, and/or OpenJPA.
Experience in the mortgage domain is preferred.
Exposure to Generative AI and prompt engineering is a plus.
 
Key Responsibilities
 
  • Backend Engineering
    Design, develop, and maintain scalable microservices using Java 17, Spring Boot, and REST APIs.
    Implement persistence layers using Hibernate and/or OpenJPA with PostgreSQL and MongoDB.
    Write clean, secure, testable, and maintainable code following established design patterns and best practices.
    Define and maintain API contracts using JSON and XML.
    Manage service configuration using YAML.
     
  • Frontend Engineering
    Build responsive and modular user interface components using Angular, TypeScript, HTML5, and CSS3.
    Integrate frontend applications with backend REST services.
    Ensure application performance, usability, and maintainability standards are met.
    Collaborate with UX and product teams to deliver features across MVPs and future releases.
    DevOps, CI/CD, and Platform Enablement
    Build and maintain CI/CD pipelines using Jenkins, Maven, and Gradle.
    Containerize services using Docker and deploy/manage workloads on Kubernetes.
    Support deployments on application servers such as Tomcat, where applicable.
    Work with source control and code review processes using Bitbucket.
     
  • Nice-to-Have Skills
    Experience with cloud-native patterns and distributed systems.
    Knowledge of observability, monitoring, and incident management practices.
    Exposure to Generative AI use cases and prompt engineering techniques.
    Domain knowledge in mortgage systems, especially loans and appraisals.

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