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Remote Python Llm Jobs in Ohio (NOW HIRING)

Kobie Marketing

AI Engineer

Columbus, OH · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Further

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

... LLM architecture * Expert proficiency in Python AI application development and modern API ... Apply today or check out all our opportunities! #LI-Remote #LI-Hybrid #LI-Onsite By submitting your ...

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Remote Python Llm information

What remote jobs can you get with Python?

Remote Python jobs include roles such as software developer, data analyst, machine learning engineer, and automation engineer. These positions often require proficiency in Python programming, familiarity with frameworks like Django or Flask, and experience with cloud platforms or version control tools. Many of these jobs offer flexible schedules and can be performed from any location with internet access.

Will AI replace Python devs?

Remote Python developers are unlikely to be fully replaced by AI, as their role involves complex problem-solving, coding, and adapting to new requirements that AI tools currently cannot fully replicate. AI can assist by automating repetitive tasks and improving productivity, but human oversight and expertise remain essential for software development. Staying updated with new tools and skills can help Python developers remain valuable in an evolving tech environment.

What is a Remote Python LLM job?

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 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.

Is Python used in LLM?

Yes, Python is widely used in developing large language models (LLMs) and is a key skill for remote Python LLM roles. It provides extensive libraries and frameworks such as TensorFlow and PyTorch that facilitate model training, fine-tuning, and deployment.

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

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.

Which LLM is good for Python coding?

For a Remote Python Llm role, models like OpenAI's GPT-4 and GPT-3.4 are widely used for Python coding due to their strong language understanding and code generation capabilities. Additionally, open-source models such as Meta's Llama 2 and EleutherAI's GPT-NeoX can be fine-tuned for specific coding tasks, making them suitable options for development environments requiring customization. Proficiency in integrating these models with APIs and understanding their limitations is essential for effective Python coding assistance.
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What job categories do people searching Remote Python Llm jobs in Ohio look for? The top searched job categories for Remote Python Llm jobs in Ohio are:
What cities in Ohio are hiring for Remote Python Llm jobs? Cities in Ohio with the most Remote Python Llm job openings:
Remote Python Llm jobs near you

Mid Backend Engineer (Python & Java)

Nexaminds

Cincinnati, OH • On-site, Remote

Full-time

Posted 22 days ago

Job description

Unlock Your Future with Nexaminds!

At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.

Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.

Location: Cincinnati Ohio

Nexaminds is looking for a Mid Backend Engineer to join our growing engineering team. In this role, you'll help build, maintain, and scale high-performance backend systems and modern cloud applications. You'll collaborate closely with senior engineers to develop reliable cloud-native solutions, create scalable data pipelines, support AI and LLM integrations, and continuously improve application security while leveraging modern AI-assisted development tools.

Requirements:

  • 3–5 years of professional experience as a Backend Engineer or Software Engineer.
  • Strong hands-on experience developing backend applications primarily in Python, with working knowledge of Java
  • Experience building applications on Google Cloud Platform (GCP) or another major cloud platform.
  • Solid understanding of backend architecture, distributed systems, REST APIs, and microservices.
  • Experience building, maintaining, and troubleshooting scalable backend services and data pipelines.
  • Exposure to or strong interest in Large Language Models (LLMs) and AI/ML integration within backend applications.
  • Experience using AI-assisted development tools such as GitHub Copilot to improve productivity and code quality.
  • Good understanding of Application Security (AppSec) principles and secure coding best practices.
  • Experience writing unit and integration tests.
  • Familiarity with Git, code reviews, CI/CD pipelines, and Agile development methodologies.
  • Strong communication and collaboration skills in cross-functional engineering teams.

Nice to Have:

  • Experience working with Kubernetes and Docker.
  • Knowledge of Infrastructure as Code (Terraform or similar).
  • Experience with messaging/event-driven architectures (Kafka, Pub/Sub, RabbitMQ).
  • Experience integrating AI services or machine learning APIs.
  • Familiarity with monitoring and observability tools.
  • Experience optimizing cloud infrastructure costs and performance.

Job Duties:

  • Design, develop, test, and deploy scalable backend services, APIs, and microservices using Java, Python, and Google Cloud Platform (GCP).
  • Build, optimize, and maintain reliable cloud-based data pipelines and backend infrastructure.
  • Support integrations with Large Language Models (LLMs) and AI-powered backend services.
  • Utilize GitHub Copilot and modern development practices to accelerate software delivery while maintaining high code quality.
  • Identify, troubleshoot, and resolve backend performance issues and production incidents.
  • Assist in identifying, prioritizing, and remediating application security vulnerabilities.
  • Write clean, maintainable, and well-tested code following engineering best practices.
  • Participate in code reviews and contribute to continuous improvement of development standards.
  • Develop and maintain technical documentation for backend services and system architecture.
  • Collaborate with product managers, DevOps engineers, and cross-functional teams to deliver high-quality software solutions.

What you can expect from us

Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness.

  • Stock options ????
  • Remote work options ????
  • Flexible working hours ????
  • Benefits above the law
  • But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
  • You'll have access to mentorship and tons of opportunities to learn and level up.

Ready to embark on this journey with us? ???????? If you're feeling the excitement, go ahead and apply!