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Rag Developer Jobs in Virginia (NOW HIRING)

Senior AI Developer

Mclean, VA ยท On-site

$140K - $190K/yr

This role requires strong hands-on engineering capabilities, deep familiarity with modern AI ... Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ...

Full Stack AI Developer

Arlington, VA ยท On-site

$95K - $115K/yr

RAG & NLP: Design and operate end-to-end Retrieval Augmented Generation (RAG) workflows, including ... Programming: Proficiency in Python (preferred) or Java for backend development, and experience with ...

Senior AI Developer

Mclean, VA ยท On-site

$140K - $190K/yr

This role requires strong hands-on engineering capabilities, deep familiarity with modern AI ... Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ...

Full Stack AI Developer

Arlington, VA ยท On-site

$95K - $115K/yr

RAG & NLP: Design and operate end-to-end Retrieval Augmented Generation (RAG) workflows, including ... Programming: Proficiency in Python (preferred) or Java for backend development, and experience with ...

AI Developer / Product SME

Mclean, VA ยท On-site

$145K - $185K/yr

... RAG pipelines, agents, multimodal solutions, and custom machine learning models. The AI Developer ... Product SME will work closely with engineering, product, UX, evaluation, governance, and client ...

Senior AI Developer

Mclean, VA ยท On-site

$140K - $180K/yr

This role requires strong hands-on engineering capabilities, deep familiarity with modern AI ... Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ...

AI Developer / Product SME

Mclean, VA ยท On-site

$145K - $185K/yr

... RAG pipelines, agents, multimodal solutions, and custom machine learning models. The AI Developer ... Product SME will work closely with engineering, product, UX, evaluation, governance, and client ...

Senior AI Developer

Mclean, VA ยท On-site

$140K - $190K/yr

This role requires strong hands-on engineering capabilities, deep familiarity with modern AI ... Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ...

Senior AI Developer

Mclean, VA ยท On-site

$140K - $190K/yr

This role requires strong hands-on engineering capabilities, deep familiarity with modern AI ... Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ...

Senior AI Developer

Mclean, VA ยท On-site

$140K - $190K/yr

This role requires strong hands-on engineering capabilities, deep familiarity with modern AI ... Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ...

Senior AI Developer

Mclean, VA ยท On-site

$140K - $190K/yr

This role requires strong hands-on engineering capabilities, deep familiarity with modern AI ... Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ...

Senior AI Developer

Mclean, VA ยท On-site

$140K - $180K/yr

This role requires strong hands-on engineering capabilities, deep familiarity with modern AI ... Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ...

AI Developer

Mclean, VA ยท On-site

$115K - $145K/yr

This role requires solid hands-on engineering capabilities, familiarity with modern AI ... Experience implementing RAG architectures, embeddings, vector stores, and context retrieval ...

Build and operate retrieval-augmented generation (RAG) solutions that ground LLMs in Family Dollar ... Mentor junior engineers and share knowledge across the AI and Automation team. * Partner with ...

The ideal candidate will have strong Python engineering skills, experience deploying ML/GenAI workloads on AWS, and hands-on expertise building RAG pipelines and MLOps workflows. Responsibilities

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

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Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What job makes $10,000 a month without a degree?

A Rag Developer, or similar specialized freelance or contract roles in software development, can earn $10,000 or more per month without a formal degree by demonstrating strong coding skills, experience, and a portfolio. High-demand skills in programming languages, web development, or app creation often lead to such income levels through freelance projects or consulting work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles are usually found in leading tech companies and may involve responsibilities like developing innovative algorithms or managing AI projects, with compensation reflecting expertise and experience.

What jobs pay $2000 a day?

For a Rag Developer or similar high-skilled tech roles, earning $2000 a day typically requires extensive experience, specialized skills, and often freelance or contract work. Such high daily rates are common in consulting, software development, or project management for large organizations or clients. These positions often demand advanced certifications, a strong portfolio, and the ability to deliver complex solutions efficiently.
What are popular job titles related to Rag Developer jobs in Virginia? For Rag Developer jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Rag Developer jobs? Cities in Virginia with the most Rag Developer job openings:

Senior AI Developer

Steampunk

Mclean, VA โ€ข On-site

$140K - $190K/yr

Full-time

Posted 10 days ago


Job description

We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires strong hands-on engineering capabilities, deep familiarity with modern AI architectures, and the ability to translate mission needs into robust, production-ready AI capabilities. The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will collaborate closely with product teams, LLMOps engineers, designers, and mission stakeholders. 


  • Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. 
  • Implement reusable AI components, libraries, and APIs that streamline application development and accelerate delivery across programs. 
  • Integrate AI models with enterprise systems, APIs, data platforms, vector databases, and cloud-native services to deliver scalable mission capabilities. 
  • Drive iterative experimentation, prototyping, and model improvement cycles in collaboration with Data Scientists and AI Evaluation Scientists. 
  • Design and implement advanced prompt strategies, context management layers, retrieval systems, and LLM orchestration logic. 
  • Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement. 
  • Translate user needs and mission workflows into intuitive, reliable AI-powered features through active partnership with designers and product teams. 
  • Implement secure-by-design and trustworthy AI practices, including safety guardrails, input sanitization, content filtering, and integration of evaluation metrics. 
  • Contribute to internal AI frameworks, code patterns, and shared accelerators that raise delivery quality across the AI & Data Exploitation Practice. 
  • Mentor junior developers, conduct code reviews, and support engineering excellence across multi-disciplinary AI delivery teams. 
  • Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks, evaluating their applicability to client missions. 
  • You will contribute to the growth of our AI & Data Exploitation Practice! 

  • Ability to hold a position of public trust with the U.S. government. 
  • Bachelorโ€™s, Masterโ€™s, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field. 
  • 5+ years of hands-on software engineering experience, with at least 2+ years focused on AI/ML, generative AI, or LLM-driven application development. 
  • Strong proficiency in Python and modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, or similar. 
  • Demonstrated ability to design and develop production-grade AI applications, including APIs, back-end services, orchestration logic, and front-end integrations (when needed). 
  • Experience implementing RAG architectures, embeddings, vector stores, and context retrieval patterns. 
  • Familiarity with multi-agent orchestration frameworks, prompt engineering strategies, and advanced LLM interaction design. 
  • Strong understanding of cloud platforms (AWS, Azure, GCP), including compute, serverless services, and security fundamentals for AI workloads. 
  • Working knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI-based systems. 
  • Experience with structured and unstructured data, document processing, and application integration with existing enterprise systems. 
  • Understanding of responsible AI principles including safety, fairness, privacy, and model risk mitigation. 
  • Strong analytical and communication skills with the ability to collaborate across engineering, design, and mission domains. 
  • Proven experience mentoring teammates and raising the technical bar of development teams.
  • Must be in the office 3 days per week.

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $190,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunkโ€™s total compensation package for employees. Learn more about additional Steampunk benefits here. 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers โ€“ and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.