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Senior Llm Developer Jobs in Washington (NOW HIRING)

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ...

Steampunk

Senior LLMOps Engineer

Mclean, VA · On-site

$145K - $185K/yr

The Senior LLMOps Engineer will play a critical role in operationalizing generative AI capabilities ... Architect and maintain scalable LLM and RAG pipelines, including model hosting, inference ...

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Senior Llm Developer information

What are the key skills and qualifications needed to thrive as a senior LLM developer?

To thrive as a Senior LLM Developer, you need deep expertise in natural language processing, machine learning, and advanced programming skills, typically supported by a relevant degree and experience with large language models. Proficiency with frameworks like PyTorch or TensorFlow, cloud platforms (AWS, GCP, Azure), and version control systems, as well as familiarity with model fine-tuning and deployment, are essential. Strong problem-solving, communication, and collaboration skills help in leading teams and translating complex requirements into innovative solutions. These skills are crucial for building, optimizing, and maintaining robust language models that meet organizational objectives and stay ahead in a rapidly evolving field.

What is the difference between Senior Llm Developer vs Machine Learning Engineer?

AspectSenior Llm DeveloperMachine Learning Engineer
CredentialsAdvanced degrees in CS, NLP, or AI; experience with LLMsDegrees in CS, Data Science, or related fields; experience with ML frameworks
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLPTech companies, startups, industries applying ML solutions
Industry UsagePrimarily in NLP, AI research, and language model developmentBroader across AI applications, including vision, speech, and data analysis

While both roles require strong AI and ML knowledge, Senior Llm Developers specialize in language models and NLP, whereas Machine Learning Engineers work across various AI domains. The roles often overlap but differ in focus and application areas.

What are some common challenges senior LLM developers face when deploying large language models in production environments?

Senior LLM Developers often encounter challenges such as optimizing model performance for latency and scalability while maintaining accuracy. Managing resource-intensive inference and ensuring robust monitoring to detect issues like model drift or biased outputs are also key concerns. Additionally, integrating LLMs with existing systems and coordinating with cross-functional teams, such as MLOps engineers and product managers, is essential for successful deployment. Staying updated with rapidly evolving frameworks and compliance requirements adds to the complexity of the role.

What is a senior LLM developer?

Senior LLM Developers are experienced software engineers who specialize in building, fine-tuning, and deploying large language models (LLMs) such as GPT, BERT, or similar AI models. They work on advanced natural language processing (NLP) tasks, optimize model performance, and often lead teams in developing AI-driven applications. Their responsibilities include data pipeline development, model training, performance evaluation, and integrating LLMs into products. They are proficient in programming languages like Python, familiar with machine learning frameworks, and stay updated with the latest research in AI and NLP.
What are the most commonly searched types of Llm Developer jobs in Washington? The most popular types of Llm Developer jobs in Washington are:
What are popular job titles related to Senior Llm Developer jobs in Washington? For Senior Llm Developer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Senior Llm Developer jobs in Washington look for? The top searched job categories for Senior Llm Developer jobs in Washington are:
What cities in Washington are hiring for Senior Llm Developer jobs? Cities in Washington with the most Senior Llm Developer job openings:
Senior Llm Developer jobs near you
Infographic showing various Senior Llm Developer job openings in Washington as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Software Engineer (Language Modeling), BS+12 yrs

LinkLLC

Columbia, MD • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
LinkLLC is seeking a highly skilled and motivated Sr. LLM Engineer to join their AI/ML team. The role involves designing, developing, and maintaining infrastructure for training and optimizing Large Language Models, as well as collaborating with cross-functional teams to deliver impactful language solutions.
Responsibilities:
• Design, develop, and maintain the infrastructure for training, hosting, and serving LLM instances.
• Optimize model training pipelines to achieve high performance and resource efficiency.
• Implement and integrate state-of-the-art LLM architectures and techniques.
• Collaborate with cross-functional teams to understand business requirements and deliver impactful language solutions.
• Monitor and analyze model performance metrics, identifying areas for improvement and implementing optimizations.
• Develop and maintain documentation, best practices, and coding standards for LLM development and deployment.
• Stay up-to-date with the latest advancements in LLM research and industry trends, and incorporate them into our projects.
• Mentor and guide junior engineers, fostering a culture of continuous learning and knowledge sharing.
Qualifications:
Required:
• 12+ years of experience in software engineering, with a focus on machine learning or natural language processing.
• Degree in Computer Science, Artificial Intelligence, or a related field.
• Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or MXNet.
• Proficiency in programming languages such as Python, C++, or Java.
• Solid understanding of LLM architectures, training techniques, and evaluation methodologies.
• Familiarity with cloud platforms (e.g., AWS, GCP) and their machine learning services.
• Knowledge of software engineering best practices, including version control, testing, and continuous integration/deployment.
• Excellent problem-solving and debugging skills.
• Strong communication and collaboration abilities to work effectively with cross-functional teams.
Preferred:
• Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, or a related field.
• Proven track record of implementing and deploying large-scale LLM systems in production environments.
• Experience with distributed computing frameworks like Apache Spark or Hadoop.
• Experience with natural language understanding, generation, and dialogue systems.
• Familiarity with techniques such as transfer learning, few-shot learning, and reinforcement learning.
• Contributions to open-source projects or research publications in the field of LLMs.
• Experience with serving models using APIs and building scalable inference pipelines.
• Knowledge of DevOps practices and tools like Docker, Kubernetes, and Jenkins.
Company:
We engineer lasting solutions in partnership with our clients, to protect our nation's security information/systems and infrastructure and to defend our country and interests. Founded in , the company is headquartered in Annapolis Junction , Maryland, US, , with a team of 11-50 employees. The company is currently Early Stage.

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