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Remote Python Llm Jobs in Alabama (NOW HIRING)

Surface trends and recommendations to product and leadership Location Remote (US). If you're in the ... Experience with SQL, Python, or data analysis and visualization tools * Background in linguistics ...

Surface trends and recommendations to product and leadership Location Remote (US). If you're in the ... Experience with SQL, Python, or data analysis and visualization tools * Background in linguistics ...

Deep proficiency in a modern backend stack (Python, TypeScript, or equivalent) * Strong background ... LLM-based product or conversational AI experience * HIPAA-regulated or other compliance-heavy ...

Deep proficiency in a modern backend stack (Python, TypeScript, or equivalent) * Strong background ... LLM-based product or conversational AI experience * HIPAA-regulated or other compliance-heavy ...

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.
What are the most commonly searched types of Python Llm jobs in Alabama? The most popular types of Python Llm jobs in Alabama are:
What are popular job titles related to Remote Python Llm jobs in Alabama? For Remote Python Llm jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Python Llm jobs in Alabama look for? The top searched job categories for Remote Python Llm jobs in Alabama are:
What cities in Alabama are hiring for Remote Python Llm jobs? Cities in Alabama with the most Remote Python Llm job openings:
Sr. AI/ML Engineer

Sr. AI/ML Engineer

Total Performance Consulting

Georgiana, AL • Remote

$80K - $110K/yr

Full-time

Re-posted 25 days ago


Job description

Lead the future of AI/ML in a hands-on, ambiguity-friendly role — shape models, build NLP pipelines, and influence product direction with founders. Collaborative, impactful work.

About the Role

We are seeking a Senior AI/ML Engineer to lead the development of core machine learning systems and AI-driven automation. This role focuses on building and improving LLM-based systems, NLP pipelines, and intelligent workflows that transform complex, unstructured data into usable insights.

You will work directly with senior leadership to shape technical direction, define what should be built, and turn ambiguous product goals into real engineering solutions. This is a hands-on role for someone comfortable building in new and evolving problem spaces.

What You'll Do

  • Lead the design and development of machine learning systems and LLM-based applications

  • Fine-tune and adapt large language models for domain-specific use cases

  • Build NLP pipelines to extract structured data from complex, unstructured documents

  • Translate ambiguous product goals into clear technical and ML execution plans

  • Work directly with product signals, user feedback, and backlog input to prioritize development work

  • Build evaluation systems to measure model performance and detect regressions

  • Design automated benchmarking pipelines for continuous model testing

  • Define meaningful performance metrics tied to real-world outcomes

  • Build feedback loops that use user corrections to continuously improve model performance

  • Apply computer vision techniques to extract data from PDFs and scanned documents

  • Develop AI agents that interact with web systems using automation tools such as Playwright or Selenium

  • Work across system design, infrastructure, training, and inference pipelines

  • Build scalable ML systems and supporting infrastructure from the ground up

How You'll Succeed

  • Turn unclear problem spaces into structured, executable technical plans

  • Build systems that improve continuously through feedback and evaluation

  • Deliver reliable, production-ready AI/ML solutions in fast-changing environments

  • Balance experimentation with practical system design and scalability

  • Communicate clearly with technical and non-technical stakeholders

  • Make strong prioritization decisions when everything is not fully defined

Who You Are

  • 6+ years of Python development experience

  • 4+ years of experience in AI/ML engineering roles

  • Strong experience building and deploying LLM-based systems (e.g., Claude, OpenAI models)

  • Comfortable using modern LLM workflows such as prompting, evaluation, and iteration

  • Experience building NLP systems for information extraction or document understanding

  • Strong understanding of model evaluation, benchmarking, and performance measurement

  • Experience working with JavaScript/Node.js and React in production environments

  • Familiarity with MongoDB and AWS

  • Experience building systems that integrate feedback loops or continuous learning

  • Comfortable working in ambiguous environments without fully defined specifications

  • Strong communication skills (upper intermediate or higher English)

Position Details
  • Remote: fully
  • Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, San Salvador, Mexico City, Panama City, Belize City

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