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Remote Retrieval Augmented Generation Jobs in Virginia

Deltek, Inc.

Software Engineer

Herndon, VA · On-site +1

$63K - $111K/yr

11-May-2026 Software Engineer US (Remote) 10790BR Company Summary As the recognized global standard ... Understands the basics of RAG (retrieval-augmented generation): embedding, chunking, similarity ...

Steampunk

AI Developer

Mclean, VA · On-site +1

$145K - $185K/yr

Provide deep expertise on LLMs, embedding models, fine-tuning techniques, agentic systems, and retrieval-augmented generation (RAG) architectures. * Guide engineering teams on best practices for ...

NT Concepts

Senior Software Engineer

Reston, VA · On-site +1

$127K - $168K/yr

Vienna, VA with remote flexibility Responsibilities: * Bridging the gap between complex business ... Experience developing and optimizing retrieval-augmented generation (RAG) pipelines using managed ...

Genworth

Senior ML/AI Engineer

Richmond, VA · On-site +1

$114K - $227K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Develop LLM-driven applications, prompt engineering strategies, and retrieval-augmented generation ...

Seekr

Senior AI Solutions Engineer

Reston, VA · On-site +1

$57.50 - $74/hr

Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone ... TX, plus remote options and flexible working hours. * Competitive Total Rewards - A ...

Genworth Financial

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Develop LLM-driven applications, prompt engineering strategies, and retrieval-augmented generation ...

Gnw

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Develop LLM-driven applications, prompt engineering strategies, and retrieval-augmented generation ...

CareScout

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Develop LLM-driven applications, prompt engineering strategies, and retrieval-augmented generation ...

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Remote Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a Remote Retrieval Augmented Generation Engineer, and why are they important?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are some common challenges faced by professionals working in Remote Retrieval Augmented Generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is Remote Retrieval Augmented Generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Virginia? The most popular types of Retrieval Augmented Generation jobs in Virginia are:
What are popular job titles related to Remote Retrieval Augmented Generation jobs in Virginia? For Remote Retrieval Augmented Generation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Retrieval Augmented Generation jobs in Virginia look for? The top searched job categories for Remote Retrieval Augmented Generation jobs in Virginia are:
What cities in Virginia are hiring for Remote Retrieval Augmented Generation jobs? Cities in Virginia with the most Remote Retrieval Augmented Generation job openings:
Remote Retrieval Augmented Generation jobs near you
Software Engineer

Software Engineer

Deltek, Inc.

Herndon, VA • On-site, Remote

$63K - $111K/yr

Other

Medical, Life, Retirement, PTO

Posted 11 days ago

Job description

11-May-2026

Software Engineer

US (Remote)

10790BR

Company Summary

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Business Summary

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged - consider joining us as we explore the limitless opportunities of the software industry.

Position Responsibilities

Feature Development (60%):

  • Build and maintain Fast API endpoints across services (control-plane, catalog-service, ai-enhancement-service)
  • Develop React/Next.js portal features: product registration flows, deployment status UIs, credential and configuration modals
  • Write Pydantic schemas and SQL Alchemy models for new features, author Alembic migration files for schema changes
  • Integrate Anthropic/OpenAI API calls into enhancement pipelines (description generation, endpoint scoring, embedding generation)
  • Write unit and integration tests with pytest; maintain code quality with Black, Flake8, and Mypy; maintain 80% coverage target
AI Integration (20%):
  • Implement Lang Chain or Lang Graph-based chains for structured tasks such as Open API spec extraction, tool summarization, and description enrichment
  • Work with prompt templates, few-shot examples, and structured output parsing
  • Assist in extending MCP server generation from Open API specs - parsing edge cases, template improvements
DevOps Fundamentals (10%):
  • Write and update Docker files; understand multi-stage build
  • Debug failing GitHub Actions steps (lint, type-check, test stages)
  • Use kubectl basics to inspect pod logs and deployment status in development environments
Collaboration (10%):
  • Participate in code reviews, giving and receiving constructive feedback
  • Write brief design notes for the features you ship
  • Pair with senior engineers on complex architectural decisions

Qualifications

Required Technical Skills
Backend:

  • Python with an async web framework (Fast API preferred); comfortable with Pydantic, SQL Alchemy, and async/await patterns
  • REST API design fundamentals: HTTP semantics, status codes, auth headers, Open API/Swagger specs
  • PostgreSQL: writes queries, understands schema design basics; some exposure to Redis or caching patterns
  • Containerization: can write a Docker file, understand docker compose, read basic Kubernetes manifests
Frontend:
  • TypeScript and React with functional components and hooks
  • Next.js (App Router preferred) or comparable modern React framework
  • Familiar with component-driven UI patterns; experience with a design system (Radix UI, Material UI, shadcn/ui, or similar)
  • Form handling and validation (React Hook Form + Zod or equivalent)
AI / LLM:
  • Has worked with at least one LLM API (Anthropic Claude or OpenAI); understands prompt construction, token limits, and API rate limiting
  • Exposure to Lang Chain, Lang Graph, or a comparable orchestration SDK - even in a personal project or coursework context
  • Understands the basics of RAG (retrieval-augmented generation): embedding, chunking, similarity search
General:
  • Gething, PRs, and code review etiquette
  • Writes unit tests, comfortable with pytest or Jest
Nice to Have:
  • Exposure to agent frameworks (Careway, AutoGen, Semantic Kernel)
  • Any cloud provider experience (OCI, AWS, Azure, GCP)
  • Familiarity with CI/CD pipelines (GitHub Actions
  • Exposure to Open Telemetry or distributed tracing concepts
  • Experience with Alembic or database migration tooling

Soft Skills:
  • Reads existing code before proposing changes; asks clarifying questions before building
  • Writes clear commit messages and PR descriptions
  • Comfortable working in a fast-moving codebase with evolving requirements

Career Interests

Engineering

Compensation Info

The U.S. salary range for this position is $63,500.00-$111,750.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity.
Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement.

Position Type

FT

Travel Requirements

No

Compliance Requirements

Certain roles may have additional privacy, security and compliance requirements to the extent they support Costpoint GCCM or similar product offerings.

EEO Statement

Deltek, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

E-Verify Statement

Deltek, Inc., utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for Deltek is eligible to work in the United States. To learn more about E-Verify you can call 1-800-255-7688 or visit their website by clicking the logo below. E-Verify is a registered trademark of the United States Department of Homeland Security.

Applicant Privacy Notice

Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you ("Personal Data") to administer and evaluate your application. We are the "controller" of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice. Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process.

Job Expires

13-Mar-2027

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