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Intern Chatgpt Prompt Engineer Jobs in Virginia (NOW HIRING)

Support fine-tuning, prompt engineering, and optimization of models for mission-specific use cases ... Familiarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflows

Support fine-tuning, prompt engineering, and optimization of models for mission-specific use cases ... Familiarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflows

Support fine-tuning, prompt engineering, and optimization of models for mission-specific use cases ... Familiarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflows

AI/ML Software Developer

Arlington, VA · On-site

$100 - $125/hr

Support fine‑tuning, prompt engineering, and optimization of models for mission‑specific use ... Familiarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflows

AI and Prompt Engineering: Advanced expertise with enterprise AI writing tools (e.g., Google Gemini Advanced, ChatGPT Enterprise), combined with the proven ability to engineer complex, multi-shot ...

$16 - $20/hr

As an Enterprise Risk Business Intern, you will gain exposure to enterprise-wide risk management ... Exposure to AI tools, bots, agents, prompt engineering, or automation technologies. * Experience ...

Showing results 21-40

Intern Chatgpt Prompt Engineer information

What is the difference between Intern Chatgpt Prompt Engineer vs Intern Data Scientist?

AspectIntern Chatgpt Prompt EngineerIntern Data Scientist
Required SkillsPrompt engineering, AI language models, basic programmingData analysis, statistics, programming (Python/R)
Work EnvironmentAI/ML teams, tech companies, startupsData teams, research labs, tech companies
Common CertificationsNone mandatory, AI/ML courses helpfulStatistics, data analysis certifications
Industry UsageAI development, NLP projectsData analysis, predictive modeling

Intern Chatgpt Prompt Engineers focus on designing effective prompts for AI language models, requiring skills in prompt engineering and basic programming. Intern Data Scientists analyze data to extract insights, often needing statistical knowledge and data analysis skills. While both roles are in tech industries and may require some programming, their core responsibilities differ significantly, with prompt engineers working on AI interaction and data scientists on data analysis.

What are the most commonly searched types of Chatgpt Prompt Engineer jobs in Virginia?

The most popular types of Chatgpt Prompt Engineer jobs in Virginia are:

What cities in Virginia are hiring for Intern Chatgpt Prompt Engineer jobs?

Cities in Virginia with the most Intern Chatgpt Prompt Engineer job openings:

AI/ML Software Developer

InterImage

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

**Secret OR Top Secret Clearance Required**

We are seeking a highly skilled Full Stack Developer with strong software design expertise to design, build, and scale modern applications that integrate data-intensive systems and Generative AI capabilities. This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large datasets and advanced language models.

You will work closely with cross-functional teams to architect, develop, and deploy scalable applications, while helping drive the integration of LLM/GenAI technologies into production environments.

Key Responsibilities

Full Stack Development

  • Design, develop, and maintain end-to-end web applications (front-end, back-end, and APIs)
  • Build scalable backend services using Python frameworks (e.g., Flask, FastAPI, Django)
  • Develop responsive, user-friendly front-end interfaces using modern frameworks (React, Angular, or similar)
  • Architect and implement RESTful and/or GraphQL APIs
  • Ensure application performance, scalability, and security across the stack

Database & Data Engineering

  • Design, develop, and optimize relational and/or NoSQL database systems
  • Create efficient data models and schemas to support large-scale applications
  • Develop scripts and pipelines to ingest, transform, and manage data flows
  • Troubleshoot performance bottlenecks and ensure data integrity
  • Work with large, complex datasets to enable analytics and AI use cases

Generative AI / LLM Integration

  • Build, test, and deploy LLM-powered applications and workflows
  • Integrate Generative AI capabilities into existing platforms and user experiences
  • Evaluate and assess LLM outputs for performance, accuracy, and usability
  • Implement Retrieval-Augmented Generation (RAG) pipelines and vector database integrations
  • Support fine-tuning, prompt engineering, and optimization of models for mission-specific use cases

System Design & Architecture

  • Contribute to the design of scalable, distributed system architectures
  • Collaborate with engineers to integrate AI components into enterprise environments
  • Balance tradeoffs between performance, cost, and scalability
  • Support CI/CD pipelines and DevSecOps best practices for deployment

Client & Mission Support

  • Translate ambiguous requirements into technical solutions
  • Help stakeholders understand evolving AI/technology options
  • Provide guidance on best practices for integrating AI into business workflows

Requirements

Required Qualifications

  • Strong experience developing Python applications from scratch, including testing and deployment
  • Hands-on experience with full stack development (front-end + back-end)
  • Proficiency with database design and management (SQL and/or NoSQL)
  • Experience with data wrangling, transformation, and scripting for data pipelines
  • Familiarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflows
  • Experience building and consuming APIs
  • Understanding of software development best practices (version control, testing, CI/CD)

Preferred / Nice-to-Have Qualifications

  • Experience deploying and managing LLMs locally and in cloud environments
  • Hands-on experience with fine-tuning models and integrating them into production systems
  • Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS)
  • Knowledge of prompt engineering and content filtering techniques
  • Familiarity with frameworks such as LangChain, LlamaIndex, or OpenAI function calling
  • Experience with model distillation and optimization
  • Exposure to knowledge graphs and graph databases (e.g., Neo4j)
  • Experience working in cloud environments (AWS, Azure, or GCP)

Benefits

  • 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
  • PTO: 20 days per year
  • Healthcare, dental, vision, Free for a single participant
  • $50,000 Life insurance provided, additional voluntary life insurance available


InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.