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Senior Llm Developer Jobs in Washington (NOW HIRING)

Bigbear.ai

Senior AI Engineer

Annapolis Junction, MD · On-site

$114K/yr

... motivated Senior AI Engineer with a proven track record in software engineering and deep ... Active TS/SCI with Poly * Proficiency in Python, LLM integration, and data engineering.

Tiber Technologies

Senior AI Engineer

Annapolis Junction, MD · On-site

$106K - $146K/yr

Senior AI Engineer ***(Active Clearance with a Polygraph is Required) We're on multiple contracts ... In this role, you will design, develop, and maintain LLM-based systems that integrate retrieval ...

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Senior Llm Developer information

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 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 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 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 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 77% Full Time, 9% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Software Developer Mid to Senior 107-006 with Security Clearance

IC-CAP, LLC

Fort George G Meade, MD • On-site

$60.50 - $79.75/hr

Other

Re-posted 3 days ago

Job description

Software Developer Mid to Senior Researches, designs, develops, and/or modifies enterprise-wide systems and/or applications software. Involved in planning of system and development deployment as well as responsible for meeting software compliance standards. Evaluates interface between hardware and software, operational requirements, and characteristics of overall system. Documents testing and maintenance of system corrections. Mid-Level & Senior Software Developer Job Duties : * Experience developing software using Agile processes * Experience using tools such as: * Type Script
* React
* MUI
* VITE
* Elastic Search
* Java Vertex
* Python
* Anything LLM * Experience building cloud-based applications not required, but great to have Mid-Level Software Developer Education and Experience : * 9-11 years of experience with bachelor's degree * 7-9 years of experience with master's degree. Senior Software Developer Job Duties : * Same as Mid level duties above, plus: * Experience using tools such as: Git, Jenkins, Docker, JIRA, Confluence
* Experience building cloud-based applications not required, but great to have Senior-Level Software Developer Education and Experience : * 12+ years of experience with bachelor's degree * 10+ years of experience with master's degree. Security Clearance: * Active TS/SCI with Full Scope Poly IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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