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Python Llm Jobs in Reston, VA (NOW HIRING)

SES

Python Developer - AWS, SQL - JL

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 ...

New

SES

Python Developer - AWS, SQL - JL

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 ...

New

NSS

Full Stack Python Developer

Leesburg, VA

You will develop secure, cloud-native web services and UI experiences that integrate with LLM/RAG ... Design and develop Python backend services and REST APIs (e.g., Flask/FastAPI) to expose AI/ML and ...

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 · 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 ...

Comcast

Python Engineer, Agentic AI

Washington, DC · On-site +1

$142K - $213K/yr

AI/LLM Interest : Exposure to LLMs or agent frameworks Infrastructure : Familiarity with cloud ... Python (Programming Language) Salary: Primary Location Pay Range: $142,651.46 - $213,977.19 Comcast ...

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 ...

Tech Tammina

AI/ML Engineer

Reston, VA · On-site

... Python microservices (FastAPI/Flask) enabling scalable data pipelines, model inference, and real-time analytics. Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM ...

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All JobsPython Llm JobsPython Llm Jobs in Reston, VA

Python Llm information

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How much do python llm jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for python llm in Reston, VA is $60.99, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $69.28 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 Reston, VA? The most popular types of Python Llm jobs in Reston, VA are:
What are popular job titles related to Python Llm jobs in Reston, VA? For Python Llm jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Reston, VA look for? The top searched job categories for Python Llm jobs in Reston, VA are:
What cities near Reston, VA are hiring for Python Llm jobs? Cities near Reston, VA with the most Python Llm job openings:
Python Llm jobs near you
Infographic showing various Python Llm job openings in Reston, VA as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $126,853 per year, or $61 per hour.

Need Senior AI System Engineer ( Python, MCP, Langchain)

Visionsoft International

Mclean, VA • On-site

Other

Re-posted 16 days ago

Job description

Need Sr Python Developer with strong AI, MCP exp

McLean, VA

Hybrid

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

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

  • 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

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

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

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