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Remote Python Ai Jobs in Virginia (NOW HIRING)

Python Developer

Herndon, VA ยท On-site +1

$51.75 - $71.25/hr

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities ... Ability to work in fast-paced environments delivering AI/ML solutions Physical Requirements:

This remote contract-to-hire position will be originated in Falls Church, VA. * SELECTED CANDIDATES ... Proficiency in Python, Go, or Bash for building custom security automation and AI-driven scripts.

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Remote Python Ai information

What are the key skills and qualifications needed to thrive as a Remote Python AI Developer, and why are they important?

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

What are Remote Python AI jobs?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.
What are the most commonly searched types of Python Ai jobs in Virginia? The most popular types of Python Ai jobs in Virginia are:
What cities in Virginia are hiring for Remote Python Ai jobs? Cities in Virginia with the most Remote Python Ai job openings:

Full Stack Developer Python, React, Langchain

Ndimensions IT

Richmond, VA โ€ข Remote

Contractor

Posted 9 days ago


Job description

Full Stack Developer (Python, React, Langchain, Agentic AI) - Remote Contract

Location: Remote

Duration: 6 Months

Contract Type: W2, Contract, or C2C

Start Date: Immediate or as per availability

Client Industry: Third-Party Logistics (3PL), Supply Chain Management

About the Client

Our client is a fast-scaling innovator in the third-party logistics (3PL) space, leveraging intelligent automation to transform supply chain operations. They are building a next-generation logistics platform grounded in Agentic AI โ€” enabling autonomous, goal-driven agents to optimize workflows, decision-making, and customer interactions.

Role Overview

We are seeking Full Stack Developers with a passion for building AI-native applications. This role focuses on developing a logistics platform powered by Agentic AI, using Langchain to orchestrate intelligent agents and Gen AI to enhance reasoning, retrieval, and automation. This is a remote, 6-month contract ideal for developers who thrive at the intersection of AI and real-world systems.

Responsibilities

- Design and develop full stack applications using Python and React

- Build and deploy Agentic AI workflows using Langchain and LLMs

- Architect autonomous agents for logistics use cases such as routing, exception handling, and predictive insights

- Integrate Gen AI capabilities for dynamic reasoning, semantic search, and task planning

- Collaborate with cross-functional teams to translate logistics requirements into scalable, intelligent systems

- Ensure performance, reliability, and maintainability of AI-driven applications

Required Skills

- Proficiency in Python and React for full stack development

- Hands-on experience with Langchain and LLM-based agent frameworks

- Strong understanding of Agentic AI principles and Gen AI tooling (e.g., OpenAI, Hugging Face, vector stores)

- Experience with RESTful APIs, microservices, and cloud-native deployment

- Familiarity with CI/CD pipelines, Git, and agile development practices

- Excellent communication and problem-solving skills

Preferred Qualifications

- Experience in logistics, supply chain, or transportation systems

- Exposure to RAG pipelines, semantic search, or autonomous agent orchestration

- Familiarity with containerization (Docker) and orchestration (Kubernetes)