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Remote Javascript Llm Jobs in Alabama (NOW HIRING)

Sr. AI/ML Engineer

Georgiana, AL · Remote

$80K - $110K/yr

This role focuses on building and improving LLM-based systems, NLP pipelines, and intelligent ... Experience working with JavaScript/Node.js and React in production environments * Familiarity with ...

Remote Javascript Llm information

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

To thrive as a Remote JavaScript LLM Engineer, you need strong expertise in JavaScript, experience with large language models (LLMs), and a solid foundation in software engineering principles, often backed by a relevant degree or significant project work. Familiarity with frameworks like Node.js, TensorFlow.js, and version control systems such as Git is typically required, along with proficiency in cloud platforms and APIs. Excellent problem-solving skills, self-motivation, and clear communication are essential soft skills for remote collaboration and innovation. These skills ensure you can build, maintain, and optimize complex AI-driven applications efficiently while working independently and effectively within distributed teams.

How does a Remote JavaScript LLM collaborate with cross-functional teams, and what communication tools are commonly used?

As a Remote JavaScript LLM, you'll frequently work with product managers, backend engineers, and UX designers to develop and refine web applications. Communication is primarily conducted through collaboration platforms like Slack, Microsoft Teams, or Zoom for meetings and daily stand-ups, along with project management tools like Jira or Trello to track progress. Effective written and verbal communication is essential for aligning on project requirements and resolving issues quickly, especially when team members are distributed across different time zones.

What is a Remote JavaScript LLM?

A Remote JavaScript LLM typically refers to a software engineer or developer who specializes in working with JavaScript-based Large Language Models (LLMs) from a remote location. These professionals build, integrate, or maintain AI-powered applications using JavaScript frameworks and libraries, often leveraging cloud-based AI models. Their work may involve developing user interfaces, connecting APIs, handling data processing, and ensuring the seamless integration of LLMs into web or mobile applications. Remote JavaScript LLMs collaborate with teams online and use tools for code management and communication, enabling flexibility and access to global opportunities.
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Sr. AI/ML Engineer

Sr. AI/ML Engineer

Total Performance Consulting

Georgiana, AL • Remote

$80K - $110K/yr

Full-time

Posted 23 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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