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Llm Developer Jobs in Springfield, VA (NOW HIRING)

shrm

AI/Synthetic Engineer

Alexandria, VA · Hybrid

$110K - $135K/yr

Seven (7) or more years in ML/LLM engineering or applied data science, including production systems. * Hands-on experience with LLM application development: grounding/RAG, prompt engineering, and ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

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All JobsLlm Developer JobsLlm Developer Jobs in Springfield, VA

Llm Developer information

See Springfield, VA salary details

$26

$52

$83

How much do llm developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for llm developer in Springfield, VA is $52.40, according to ZipRecruiter salary data. Most workers in this role earn between $41.20 and $63.51 per hour, depending on experience, location, and employer.

What is the salary of LLM developer?

The salary of an LLM developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in machine learning, natural language processing, and relevant tools like Python and TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers or machine learning executives, often involving advanced skills in deep learning, large language models, and extensive experience. These positions may include leadership responsibilities, require specialized certifications, and offer compensation packages that include salary, bonuses, and stock options. Such roles are usually found in top tech companies or AI-focused organizations and demand a strong track record of innovation and technical expertise.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Llm Developer position, and why are they important?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What engineers make $500,000?

Senior machine learning engineers, including those developing large language models (LLMs), can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work at top tech companies. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

What are the typical daily tasks and responsibilities of an LLM Developer?

As an LLM Developer, your daily responsibilities often include designing, fine-tuning, and evaluating large language models to meet specific application needs. You may work on tasks such as data preprocessing, model training, performance benchmarking, and error analysis, frequently collaborating with data scientists, research engineers, and product managers. Keeping up to date with the latest advancements in NLP and integrating new techniques into production models is also a key part of the role. These tasks are usually performed in a team-oriented environment where clear communication and iterative experimentation are highly valued.

What are LLM developers?

LLM developers are software engineers who design, build, and optimize large language models used in artificial intelligence applications. They typically work with machine learning frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch to develop models for tasks like natural language processing and understanding.
What are popular job titles related to Llm Developer jobs in Springfield, VA? For Llm Developer jobs in Springfield, VA, the most frequently searched job titles are:
What cities near Springfield, VA are hiring for Llm Developer jobs? Cities near Springfield, VA with the most Llm Developer job openings:
Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Springfield, VA as of July 2026, with employment types broken down into 82% Full Time, 7% Part Time, 1% Temporary, and 10% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $108,990 per year, or $52.4 per hour.
AI/Synthetic Engineer

AI/Synthetic Engineer

shrm

Alexandria, VA • Hybrid

$110K - $135K/yr

Other

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

Summary

Build the organization’s synthetic-audience capability: the data-grounding layer that connects first-party audience data to large language models, the synthetic-audience models themselves, and the engineering pipelines and evaluation harness around them. Direct the synthetic-capability partner and the foundation-model infrastructure beneath it and operate the validation harness that the team will use to judge accuracy. This is an engineering role at heart but applied entirely to research questions.

Responsibilities
  • Design and build the first-party data grounding layer (embeddings / retrieval) that anchors synthetic audiences in real segment data.
  • Build, tune, and maintain synthetic-audience models and the prompt/evaluation pipelines around them.
  • Operate the validation harness: run synthetic output against real holdout data and surface accuracy bounds for the Verification & Validation Data Scientist to interpret.
  • Direct the synthetic-capability partner; manage foundation-model infrastructure and keep the architecture portable across providers.
  • Build guardrails that prevent confident-but-wrong output from reaching stakeholders unflagged.
  • Protect data ownership and ensure member data never trains external shared models.
Education & Experience RequirementsEducation·         Bachelor’s degree in computer science or related field or relevant equivalent experience in lieu of degree.  Master’s degree preferred.Experience
  • Seven (7) or more years in ML/LLM engineering or applied data science, including production systems.
  • Hands-on experience with LLM application development: grounding/RAG, prompt engineering, and evaluation frameworks.
  • Exposure to synthetic data, agent-based simulation, or survey/behavioral data preferred.
  • Experience directing an AI/ML vendor or platform partner preferred.
Certifications - NAKnowledge, Skills & Abilities
  • Strong data engineering: pipelines, embeddings, working with first-party datasets.
  • Understanding of model evaluation and the failure modes of generative systems.
  • Able to work to research-defined validation standards rather than ship unchecked.
  • Ability to effectively leverage artificial intelligence (AI) tools and technologies to streamline workflows, enhance productivity, and improve overall work quality.
 Physical Requirements

This position operates in a typical office environment (which includes a home office setting) and requires the ability to perform essential job functions with or without reasonable accommodation. Physical requirements may include:

  • Prolonged periods of sitting at a desk and working on a computer.
  • Frequent use of hands and fingers for typing, handling documents, and using office equipment.
  • Occasional standing, walking, bending, and reaching.
  • Ability to lift and carry up to 30 pounds as needed.
  • Clear verbal and written communication skills for effective interaction with colleagues and stakeholders.
Work EnvironmentHybrid Schedule (3 Days In-Office/2 Days Remote)

This position follows a hybrid work schedule, with Tuesday through Thursday in office and Monday and Friday remote.  Employees must be available during standard business hours, with core hours beginning between 8:00–9:00 a.m. and concluding between 5:00–6:00 p.m. local time.

Travel:  Occasional 0 – 10%

#LI

The hiring range for this position is $110,000 to $135,000 per year. This range is an estimate, and the actual salary may vary based on the candidate's experience, skills, and qualifications. SHRM offers a competitive and comprehensive total rewards package. The benefits for this position include professional growth and development, health, dental, vision, well-being, health savings, flexible spending, retirement, open leave, and annual discretionary bonus and incentives.

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About SHRM

Sourced by ZipRecruiter

SHRM, the Society for Human Resource Management, creates better workplaces where employers and employees thrive together. As the voice of all things work, workers and the workplace, SHRM is the foremost expert, convener and thought leader on issues impacting today's evolving workplaces. With nearly 325,000 members in 165 countries, SHRM impacts the lives of more than 235 million workers and families globally.

Industry

Human resources consulting services

Company size

201 - 500 Employees

Headquarters location

Alexandria, VA, US

Year founded

1948

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