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Remote Python Llm Jobs in Richmond, VA (NOW HIRING)

Kobie Marketing

AI Engineer

Richmond, VA · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

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Remote Python Llm information

See Richmond, VA salary details

$13

$58

$85

How much do remote python llm jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote python llm in Richmond, VA is $58.01, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 per hour, depending on experience, location, and employer.

What is a remote Python LLM?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are the key skills and qualifications needed to thrive as a remote Python LLM engineer?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

What are some common collaboration methods used by remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

What are popular job titles related to Remote Python Llm jobs in Richmond, VA?

For Remote Python Llm jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Remote Python Llm jobs in Richmond, VA look for?

The top searched job categories for Remote Python Llm jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Remote Python Llm jobs?

Cities near Richmond, VA with the most Remote Python Llm job openings:

Remote Python Llm jobs near you

AI Engineer (Public Trust)

Glen Allen, VA • Remote

Digital Links Inc
See more jobs at Digital Links Incexternal

Contractor

Re-posted 10 days ago

Job description

Job Description:

Job Title: AI Developer / AI Engineer
Remote (DMV)
Duration: 5 Years
Clearance: Public Trust
Job Summary:
We are seeking a skilled AI Engineer to design, develop, and deploy scalable AI/ML and Generative AI solutions. The role involves building intelligent systems, integrating AI into enterprise applications, and optimizing model performance in production environments.
Key Responsibilities:
  • Design and develop AI/ML and Generative AI solutions
  • Build and implement RAG (Retrieval-Augmented Generation) pipelines
  • Develop semantic search systems using embeddings and vector databases
  • Integrate LLMs (OpenAI, Anthropic, etc.) into applications
  • Build scalable ML pipelines for training and deployment
  • Develop APIs and microservices (FastAPI, Flask, etc.)
  • Perform data preprocessing, feature engineering, and model evaluation
  • Deploy solutions on AWS/Azure/GCP cloud platforms
  • Implement MLOps practices (CI/CD, monitoring, model versioning)
  • Collaborate with cross-functional teams
Required Skills:
  • Strong programming skills in Python
  • Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
  • Hands-on experience with Generative AI / LLMs (LangChain, OpenAI APIs)
  • Understanding of NLP, embeddings, vector search, and RAG
  • Experience with databases (SQL/NoSQL, PostgreSQL, Redis, etc.)
  • Experience with API development and backend systems
  • Familiarity with Docker, Kubernetes
  • Experience with cloud platforms (AWS/Azure/GCP)
Preferred Qualifications:
  • Experience with LLM fine-tuning or embedding optimization
  • Knowledge of evaluation metrics (Precision@K, MRR, nDCG)
  • Experience with Airflow, Kafka, or Spark
  • Exposure to React/Next.js or frontend technologies
  • Experience in Agile environments
Key Technologies:
Python | PyTorch | TensorFlow | LangChain | OpenAI | RAG | FAISS | Pinecone | PostgreSQL | Redis | FastAPI | AWS | Azure | Docker | Kubernetes