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Remote Llm Engineer Intern Jobs in Reston, VA (NOW HIRING)

Northramp LLC

AI Engineer (Mid)

Washington, DC · On-site +1

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington ... Experience integrating LLM APIs (Gemini, OpenAI, or equivalent) into production application ...

Northramp LLC

AI Engineer (Mid)

Washington, DC · Remote

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington ... Experience integrating LLM APIs (Gemini, OpenAI, or equivalent) into production application ...

IsI Enterprises LLC

AI Software Engineer - Remote

Reston, VA · On-site +1

$140K - $170K/yr

Hands-on experience with LLM APIs, prompt engineering, RAG architectures, and AI agent frameworks ... Opportunity for remote work. * A competitive salary and benefits package. * A casual, friendly, and ...

Northramp LLC

AI Engineer (Mid)

Washington, DC · Remote

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington ... Experience integrating LLM APIs (Gemini, OpenAI, or equivalent) into production application ...

HiddenLayer

Data Scientist

Washington, DC · Remote

... Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and LLM-powered ...

Relativity

Software Engineer

Washington, DC · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots ...

Consumer Reports

Software Engineer - Product

Washington, DC · On-site +1

$120K - $140K/yr

This is a remote position. This position is not eligible for sponsorship or relocation assistance ... You have integrated and deployed AI solutions using OpenAI's GPT models or similar LLM technologies.

Inseparable

Political Programs Interns

Washington, DC · Remote

$25/hr

Political Programs Intern (Part-Time) Remote | 20 hours/week | Fall 2026 | $25/hour Inseparable is ... Support Inseparable's electoral programming, including: Mental Health Now: ● Support outreach ...

ManTech

Enterprise AI Security Engineer

Washington, DC · Remote

$141K - $236K/yr

Direct experience integrating security controls into AI/ML or LLM solutions. Clearance Requirements ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

PolySwarm

Senior Software Engineer

Washington, DC · On-site +1

$138K - $182K/yr

Comfortable with a LLM-assisted development environment * Proficient with software debugging and ... Comfortable working in a remote-only environment * Analytical mind * Confidence to share your ideas

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All JobsRemote Llm Engineer Intern JobsRemote Llm Engineer Intern Jobs in Reston, VA

Remote Llm Engineer Intern information

See Reston, VA salary details

$14

$26

$40

How much do remote llm engineer intern jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for remote llm engineer intern in Reston, VA is $26.44, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $30.00 per hour, depending on experience, location, and employer.

What is a Remote LLM Engineer Intern?

A Remote LLM Engineer Intern is a student or early-career professional who works remotely to support the development and implementation of Large Language Models (LLMs), such as GPT or BERT. Their responsibilities often include data preprocessing, model training, fine-tuning, evaluation, and contributing to codebases for AI-driven applications. Interns collaborate with senior engineers and researchers, learning best practices in natural language processing and machine learning, while gaining hands-on experience with cutting-edge technologies. This role is typically offered by tech companies, research labs, or AI startups and allows interns to contribute to projects from anywhere with internet access.

What are the key skills and qualifications needed to thrive as a Remote LLM Engineer Intern, and why are they important?

To excel as a Remote LLM Engineer Intern, you need a solid background in computer science fundamentals, proficiency in Python, and experience with machine learning or natural language processing, often supported by relevant coursework or internships. Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and version control systems like Git, is usually required. Strong problem-solving abilities, self-motivation, and the ability to communicate technical concepts remotely are essential soft skills. These competencies enable interns to contribute effectively to LLM projects, adapt to remote collaboration, and develop solutions in a rapidly evolving AI field.

What are the typical projects and responsibilities for a Remote LLM Engineer Intern?

As a Remote LLM Engineer Intern, you can expect to work on tasks such as fine-tuning large language models, evaluating model outputs, and implementing improvements to existing NLP pipelines. Interns often collaborate with data scientists, machine learning engineers, and product teams to develop and test new features or workflows. A typical week may involve coding experiments, analyzing datasets, addressing model bias or performance issues, and participating in virtual team meetings. This role offers hands-on experience with state-of-the-art language models and exposure to the latest advancements in AI.

What is the difference between Remote Llm Engineer Intern vs Remote Machine Learning Engineer Intern?

AspectRemote Llm Engineer InternRemote Machine Learning Engineer Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fields; familiarity with NLP and LLMsSimilar educational background; focus on ML algorithms, data processing, and software engineering
Work EnvironmentRemote internship, often in tech companies developing NLP or AI productsRemote internship, in companies working on ML applications across industries
Employer & Industry UsageUsed in AI startups, research labs, and tech giants focusing on NLP and language modelsCommon in tech firms, research institutions, and companies deploying ML solutions

The main difference between a Remote Llm Engineer Intern and a Remote Machine Learning Engineer Intern lies in their focus areas. The Llm Intern specializes in language models and NLP-specific tasks, while the ML Intern has a broader scope in machine learning applications. Both roles require similar educational backgrounds and are typically remote internships in tech-driven environments.

What are popular job titles related to Remote Llm Engineer Intern jobs in Reston, VA? For Remote Llm Engineer Intern jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Llm Engineer Intern jobs in Reston, VA look for? The top searched job categories for Remote Llm Engineer Intern jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Llm Engineer Intern jobs? Cities near Reston, VA with the most Remote Llm Engineer Intern job openings:
Remote Llm Engineer Intern jobs near you
Infographic showing various Remote Llm Engineer Intern job openings in Reston, VA as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $55,000 per year, or $26.4 per hour.
Director of Analytics Engineering

Director of Analytics Engineering

Ennoble Care

Arlington, VA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Ennoble Care rating

4.2

Company rating: 4.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

About Us

Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today!

ABOUT THE ROLE

We're hiring a hands-on technical leader to strengthen and expand Ennoble's ACO analytics data infrastructure. You'll own the design of a unified data platform integrating our Medicare claims feeds (DPC, CCLF, BCDA), CMS alignment and benchmark files, in-house clinical systems, and external vendor data into a single, accurate, queryable layer. We expect this person to bring engineering rigor and AI-augmented practices to our team.

This candidate will be our internal thought-leader on AI-augmented data engineering: LLM coding assistants, automated QA, autonomous data-quality agents, intelligent cross-source reconciliation, MCP servers as needed, and conversational query layers. This candidate will lead our large-scale analytics platform and web app rollout as the team's analytical foundation. Individual contributor today, with a clear path to building and leading an engineering team as scope grows.

WHAT YOU'LL DO

  • Strengthen and expand our analytics data warehouse infrastructure
  • Lead AI-augmented engineering adoption: codify patterns for LLM coding assistants (e.g., Claude Code under BAA), agentic QA, autonomous data-quality monitoring agents, and conversational query layers
  • Own data accuracy and reconciliation — build validation, monitoring, and audit infrastructure that catches issues before they reach reporting or CMS submissions — extending our ~158-object audit and observability framework (ADF run logging, MBI crosswalk QA, DPC parity harness, transactional refresh with auto-rollback)
  • Partner with analytics leads (MSSP, ACO REACH/LEAD, GUIDE, Quality, Dashboards) to ensure infrastructure meets internal and external reporting requirements and advanced downstream modeling needs
  • Lead large-scale analytics platform and web app implementation, integration, and maintenance
  • Collaborate closely with IT and Engineering on tooling standards, organizational approvals, and security requirements (BAA scope, Microsoft Entra identity scoping, PHI/PII suppression, Azure SQL firewall)

WHAT WE'RE LOOKING FOR

  • Data engineering depth: Strong hands-on experience with cloud-based analytics infrastructure and production data pipelines
  • Platform: Microsoft Azure — incl. Azure SQL, Azure Data Factory, Azure DevOps, GitHub, Azure Blob Storage, Azure Databricks experience a strong plus
  • SQL & Python: Expert T-SQL; Python proficient for ingestion utilities, internal web apps, and AI-agent tooling
  • Data modeling: Experience designing unified/canonical models across heterogeneous source systems
  • Data integrity: Demonstrated validation, reconciliation, and audit framework design — especially where discrepancies have material downstream impact
  • Healthcare data: Familiarity with Medicare claims (CCLF, DPC, BCDA or similar) and/or risk-based contracting strongly preferred
  • AI fluency: Track record using LLM-based tools (e.g., Claude Code, Copilot) to accelerate data engineering; comfortable as a visible thought-leader on AI practices for a small team
  • DevOps: Experience integrating pipelines with CI/CD, version control, branching strategies (dev → test → prod), DACPAC or equivalent schema-migration tooling, and managed-identity-based deployment
  • Communication: Able to translate infrastructure decisions and engineering workflows into business impact for non-technical stakeholders

CURRENT SCALE

  • ~40,000 attributed patients across MSSP, ACO REACH, GUIDE, and LEAD
    • Various alignment, benchmark, and claim files spanning CMS/CMMI programs across multiple ACOs
  • Three distinct Medicare claim feeds (DPC, CCLF, BCDA), each with its unique schema, inconsistencies, and challenges
  • Internal clinical/operational data systems and structures
  • External vendor data feeds, with planned data source expansion as Ennoble Care's ACO portfolio grows
  • Existing data engineering foundation to continue building upon

WHAT WE OFFER

  • Foundational technical leadership at one of the nation's fastest-growing home-based care providers
  • A working analytics stack to build on — production pipelines, active models, and a team already shipping
  • Mission-driven culture focused on improving outcomes for homebound Medicare patients

Full-time employees qualify for the following benefits:

  • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
  • Paid Time Off
  • Paid Office Holidays

All employees qualify for these benefits:

  • Paid Sick Time
  • 401(k) with up to 3% company match
  • Referral Program
  • Payactiv: pay-on-demand. Cash out earned money when and where you need it!

Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.

Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.