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Llmops Jobs in Reston, VA (NOW HIRING)

Steampunk

LLMOps Engineer

Mclean, VA · On-site

$115K - $145K/yr

The LLMOps Engineer will work closely with AI Product Engineers, Data Scientists, and senior LLMOps staff to support the deployment, monitoring, and continuous improvement of LLM-based systems. This ...

Steampunk

LLMOps Engineer

Mclean, VA · On-site

$115K - $145K/yr

The LLMOps Engineer will work closely with AI Product Engineers, Data Scientists, and senior LLMOps staff to support the deployment, monitoring, and continuous improvement of LLM-based systems. This ...

Steampunk

LLMOps Engineer

Mclean, VA

$115K - $145K/yr

The LLMOps Engineer will work closely with AI Product Engineers, Data Scientists, and senior LLMOps staff to support the deployment, monitoring, and continuous improvement of LLM-based systems. This ...

Merican

AWS AI Engineer

Herndon, VA · On-site

Implement and manage LLMOps workflows, including deployment, monitoring, and scaling of Generative AI systems * Build and maintain agent-based workflows using frameworks like LangChain, CrewAI, or ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

Required : • Experience AI/ML production engineering, LLMOps or MLOps, and the deployment of Retrieval-Augmented Generation (RAG) architectures. • Familiarity with Kubernetes-based AI deployments ...

ManTech

AI Engineer

Washington, DC · On-site +1

$141K - $236K/yr

Design, develop, and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps). * Implement and deploy Retrieval-Augmented Generation (RAG) architectures in production. * Build and maintain ...

Steampunk

AI Developer

Mclean, VA

$140K - $190K/yr

Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement. * Translate user needs and mission ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement. * Translate user needs and mission ...

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement. * Translate user needs and mission ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement. * Translate user needs and mission ...

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement. * Translate user needs and mission ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement. * Translate user needs and mission ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement. * Translate user needs and mission ...

steampunk

AI Developer with Security Clearance

Fairfax, VA · On-site

$140K - $190K/yr

Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement. * Translate user needs and mission ...

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All JobsLlmops JobsLlmops Jobs in Reston, VA

Llmops information

What jobs can I do with LLM?

With expertise in large language models (LLMs), you can pursue roles such as NLP engineer, machine learning engineer, data scientist, or AI researcher. These jobs typically require skills in programming, deep learning frameworks, and understanding of natural language processing concepts.

What engineer makes $500,000 a year?

Senior machine learning engineers, including those working in Llmops or related AI fields, can earn $500,000 or more annually, especially with extensive experience, specialized skills, and working at top tech companies or in high-demand industries. Compensation often includes base salary, bonuses, and stock options, reflecting expertise in large language models, cloud platforms, and deployment tools.

What jobs make $3,000 a day?

In the context of Llmops, high-paying roles such as AI project managers, machine learning engineers, or data science consultants can earn around $3,000 daily, especially with specialized skills, certifications, and experience in deploying large language models. These roles often require advanced technical knowledge, experience with cloud platforms, and the ability to manage complex AI operations in a fast-paced environment.

What is the difference between Llmops vs Data Scientist?

AspectLlmopsData Scientist
Required credentialsKnowledge of machine learning, AI frameworks, cloud platformsStatistics, programming, data analysis skills
Work environmentAI/ML teams, cloud environments, deployment pipelinesData analysis, modeling, reporting in various industries
Employer usageTech companies, AI startups, research labsFinance, healthcare, tech, retail

While both roles involve working with data and machine learning, Llmops focuses on deploying and maintaining large language models in production environments, requiring expertise in AI infrastructure. Data Scientists primarily analyze data, build models, and generate insights. Llmops professionals ensure models operate efficiently at scale, whereas Data Scientists develop the models and interpret results.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may include performance-based bonuses or stock options. Such salaries are rare and generally found in top tech companies or specialized AI firms.
What are popular job titles related to Llmops jobs in Reston, VA? For Llmops jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Llmops jobs in Reston, VA look for? The top searched job categories for Llmops jobs in Reston, VA are:
What cities near Reston, VA are hiring for Llmops jobs? Cities near Reston, VA with the most Llmops job openings:
Llmops jobs near you
LLMOps Engineer

LLMOps Engineer

Steampunk

Mclean, VA • On-site

$115K - $145K/yr

Other

Posted 22 days ago

Job description

Overview
We are looking for a skilled LLMOps Engineer to help build, operate, and optimize the infrastructure and pipelines that power our predictive and generative AI capabilities. The LLMOps Engineer will work closely with AI Product Engineers, Data Scientists, and senior LLMOps staff to support the deployment, monitoring, and continuous improvement of LLM-based systems. This role is highly technical and hands-on, with opportunities to grow into senior roles through increasing independence, system ownership, and architectural contributions.
Contributions
  • Implement and maintain core LLM pipelines, including model hosting endpoints, embedding pipelines, retrieval layers, and vector database integrations.
  • Build automation for model versioning, dataset management, and configuration tracking to support reproducible and reliable GenAI development.
  • Develop monitoring and observability components for LLM-based applications, including metrics dashboards, alerting, and logging of model outputs and performance.
  • Collaborate with AI Product Engineers to move prototypes into production environments, supporting scalability, testing, and integration with mission systems.
  • Assist in configuring and optimizing inference runtimes, containers, and microservices to ensure responsive and cost-efficient model operations.
  • Contribute to CI/CD pipelines that support automated testing, evaluation workflows, and safe deployment of updated prompts, models, and context strategies.
  • Help implement and maintain basic MLSecOps guardrails, such as input validation, prompt protections, and output filtering.
  • Participate in troubleshooting efforts, root-cause analysis, and issue resolution for operational incidents involving LLM pipelines or infrastructure.
  • Stay current with emerging tools, libraries, and practices for operationalizing LLMs, including orchestration frameworks and inference accelerators.
  • Document system workflows, runbooks, and operational best practices to support team knowledge growth and onboarding.
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the U.S. government.
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Machine Learning, or a related field and 5+ years of experience; OR
    • Master's degree in Computer Science, Data Engineering, Machine Learning, or a related field and 3+ years of experience.
  • 2+ years of experience in software engineering, DevOps, MLOps, cloud engineering, or data engineering, with exposure to LLM or ML model operations.
  • Proficiency in Python and familiarity with LLM-related tools and frameworks such as Hugging Face Transformers, LangChain, LlamaIndex, or similar.
  • Experience with containerization (Docker) and basic orchestration using Kubernetes or serverless model hosting environments.
  • Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), including compute, storage, and networking fundamentals for AI workloads.
  • Familiarity with CI/CD pipelines, automated testing, and environment provisioning for AI or data systems.
  • Exposure to vector databases, embedding models, and RAG pattern implementations preferred.
  • Understanding of modern DevSecOps principles, security basics, and safe handling of data used in AI pipelines.
  • Strong debugging and problem-solving skills with an ability to collaborate in cross-functional engineering teams.
  • Strong written and verbal communication skills with the ability to document workflows and explain operational concepts.
  • Experience working in agile or iterative development environments is a plus.

About steampunk
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 $115,000 to $145,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk'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 - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

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