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Python Llm Jobs in Washington, DC (NOW HIRING)

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

LLM * ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in Communication skills for Teamwork and sharing * Stand alone to get work done, Independent * Flexibility Experience: 10+ years overall ...

AWS Python Developer

Reston, VA · On-site +1

$52.25 - $72/hr

Reston, VA Mode of Work: 3 Days hybrid Top Skills' Details Strong Python and AWS skills Machine Learning, LLM, GenAi experience Needs to be a hands-on engineer Develop and optimize machine learning ...

AWS Python Developer

Reston, VA · Hybrid

$52.25 - $72/hr

Reston, VA Mode of Work: 3 Days hybrid Top Skills' Details Strong Python and AWS skills Machine Learning, LLM, GenAi experience Needs to be a hands-on engineer Develop and optimize machine learning ...

Python Ai Developer - ZL

Washington, DC · On-site

$57 - $78.50/hr

LLM * ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in Communication skills for Teamwork and sharing * Stand alone to get work done, Independent * Flexibility Company / Project Description ...

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Python Llm information

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$14

$66

$97

How much do python llm jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python llm in Washington, DC is $66.39, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.43 per hour, depending on experience, location, and employer.

What is a Python LLM job?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

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

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM Engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are the most commonly searched types of Python Llm jobs in Washington, DC? The most popular types of Python Llm jobs in Washington, DC are:
What job categories do people searching Python Llm jobs in Washington, DC look for? The top searched job categories for Python Llm jobs in Washington, DC are:

AI Engineer with Security Clearance

Hoplite Solutions LLC

Fort George G Meade, MD • On-site

Other

Re-posted 10 days ago


Job description

Job Description Hoplite Solutions is seeking motivated AI Engineer with a proven track record in software engineering and deep understanding of Artificial Intelligence/Machine Learning (AI/ML) techniques to support the exciting new AI and Emerging Technologies (AI&ET) mission. The engineer will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve the certification process by introducing AI/ML tooling. Additionally, the engineer will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced vulnerability identification and mitigation capabilities. Mission Focus: * Collaborate closely with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines.
* Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption. * Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management. Technical Proficiency: * Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems. * Support security assessments and authority to operate (ATO) processes. Required Skills Basic Qualifications: * Bachelor's degree plus 8-years of relevant experience or equivalent.
* Proficiency in Python, LLM integration, and data engineering. * Experience with static analyzers, RAG framework, and relational and vector databases.
* Familiarization with Agile, Git, Jira, and Confluence.
* Security Clearance: Active TS/SCI with Polygraph required. Desired Skills Desirable Skills: * Familiarization with RUST, Claude Code, Codex, and CI/CD.