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Python Llm Jobs in Washington, DC (NOW HIRING)

Polar IT Services

AWS Python Developer

Reston, VA · On-site

$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 ...

Polar IT Services

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 ...

Polar IT Services

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 ...

Black Cape

Powerful Python Developer

Bethesda, MD · On-site

$52.25 - $72/hr

Powerful Python Developer (AI and/or GIS Specialist) Locations: * Bethesda, MD - preferred but will ... Familiarity with LLM evaluation methods such as LLM-as-a-judge patterns * Familiarity with fine ...

Black Cape

Powerful Python Developer

Bethesda, MD · On-site

$52.25 - $72/hr

Powerful Python Developer (AI and/or GIS Specialist) Locations: * Bethesda, MD - preferred but will ... Familiarity with LLM evaluation methods such as LLM-as-a-judge patterns * Familiarity with fine ...

Comcast

Python Engineer, Agentic AI

Washington, DC · On-site +1

$142K - $213K/yr

Write clean, well-structured, and maintainable Python code that follows established coding ... AI/LLM Interest : Exposure to LLMs or agent frameworks Infrastructure : Familiarity with cloud ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Jun 18, 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 are popular job titles related to Python Llm jobs in Washington, DC? For Python Llm jobs in Washington, DC, the most frequently searched job titles 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:
Python Llm jobs near you

Senior Python AI Engineer (Agentic AI & MCP)-- No H1B -- Local TO Mclean VA-- Inperson interview

StackNexus Inc.

Mclean, VA

Other

Posted 3 days ago

Job description

Education & Experience

Minimum 7-10 years of overall software engineering experience with strong Python expertise

3+ years of hands-on experience building LLM-powered or AI/ML applications in production

Bachelor''s/Master''s degree in Computer Science, Engineering, AI/ML, or equivalent industry experience

Demonstrated experience owning end-to-end delivery of AI products from design to deployment

Python Fundamentals (Must Have)

Deep expertise in Python 3.10+, including asyncio, multithreading/multiprocessing, decorators, generators, and metaclasses

Proficiency with foundational packages: NumPy, Pandas, Pydantic, httpx/requests, dataclasses, typing

Strong grasp of clean code principles, SOLID design, and Pythonic idioms

Experience writing unit/integration tests with pytest and maintaining high code coverage

Familiarity with linting/formatting toolchains (ruff, black, isort, mypy) and pre-commit hooks

Experience with dependency and environment management (Poetry, uv, pip, venv, conda)

Agentic AI, LangChain & MCP (Core Focus)

Proven hands-on experience with Model Context Protocol (MCP) — designing, building, and maintaining MCP servers and clients

Strong working experience with FastMCP for building Python-based MCP servers with tools, resources, and prompts

Expert-level experience with LangChain (chains, agents, memory, retrievers, output parsers, LCEL)

Experience with LangGraph for stateful, multi-agent, and graph-based agentic workflows

Understanding of tool/function calling, structured outputs, and agent-to-agent communication patterns

Experience integrating multiple LLM providers (Anthropic Claude, OpenAI, Azure OpenAI, Gemini, open-source models)

Knowledge of RAG architecture: chunking strategies, embeddings, hybrid search, re-ranking, and evaluation

Backend & API Development

5+ years building production APIs with FastAPI, Flask, or Django REST Framework

Experience with streaming responses (SSE/WebSockets) for real-time LLM output

Solid understanding of authentication/authorization mechanisms (OAuth2, JWT, API key management)

Experience designing scalable microservices and event-driven architectures (Kafka, RabbitMQ, Celery)

Data & Storage

Strong SQL skills (PostgreSQL, MySQL) and experience with ORMs (SQLAlchemy)

Hands-on experience with vector databases: Chroma, Pinecone, Qdrant, Weaviate, pgvector, or FAISS

Experience with caching layers (Redis) and NoSQL stores (MongoDB, DynamoDB)

Data preprocessing, ETL pipeline development, and working with structured/unstructured data

ML/AI Foundations

Working knowledge of machine learning fundamentals: embeddings, similarity metrics, classification, evaluation

Familiarity with PyTorch, TensorFlow, or scikit-learn for model training/inference where needed

Experience with Hugging Face ecosystem (Transformers, datasets, model hub)

Understanding of prompt engineering, few-shot learning, and LLM evaluation frameworks (RAGAS, DeepEval, LangSmith evals)

Cloud, DevOps & MLOps

4+ years deploying applications on AWS, Azure, or Google Cloud Platform (Lambda, ECS/EKS, Cloud Run, Azure Functions)

Proficiency with Docker; working knowledge of Kubernetes and Helm

CI/CD experience with GitHub Actions, GitLab CI, or Azure DevOps

Experience with LLM observability and tracing tools (LangSmith, Langfuse, Arize Phoenix, OpenTelemetry)

Familiarity with secrets management, rate limiting, and cost monitoring for LLM workloads

Security & Responsible AI

Experience implementing guardrails, input/output validation, and PII handling in AI pipelines

Awareness of prompt injection risks and mitigation strategies in agentic/MCP-based systems

Understanding of compliance considerations (SOC 2, GDPR, HIPAA) when handling sensitive data

Collaboration & Leadership

Experience mentoring engineers, conducting code reviews, and setting technical standards

Ability to translate business problems into AI solution architectures

Excellent communication skills with both technical and non-technical stakeholders

Comfortable in Agile/Scrum delivery models with tools like Jira and Confluence

Nice to Have

Contributions to open-source AI/LLM projects (LangChain, MCP servers, etc.)

Experience with fine-tuning (LoRA/QLoRA) or self-hosted model serving (vLLM, Ollama, TGI)

Knowledge of A2A protocols, CrewAI, AutoGen, or other multi-agent frameworks

Experience building Slack/Teams bots or IDE integrations powered by MCP

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