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Javascript Llm Jobs in Georgia (NOW HIRING)

Build responsive, performant web interfaces using React and JavaScript, ensuring seamless user ... Rapidly prototype new product concepts using GenAI and LLM platforms * Apply AI-assisted ...

New

Microsoft Dynamics Developer

Atlanta, GA

$43K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/LLM development knowledge/Prompt Engineering Nice to have: Github CoPilot efficient prompt experience. Nice to have: Typescript, JavaScript's, Angular, or similar UI development experience.

... Javascript * 2+ years of experience specifically building LLM-powered applications or agents in production with M365 Copilot, Copilot Studio, Power Platform, or equivalent enterprise agent platforms ...

Showing results 21-40

Javascript Llm information

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

To thrive as a JavaScript LLM Engineer, you need strong proficiency in JavaScript, a good understanding of machine learning principles, and experience with LLM integration, typically backed by a degree in computer science or a related field. Familiarity with relevant libraries (such as TensorFlow.js or Hugging Face Transformers), RESTful APIs, and cloud deployment platforms is essential. Problem-solving, adaptability, and effective communication are crucial soft skills in this role. These skills ensure the successful development, deployment, and maintenance of AI-powered applications that leverage LLMs for advanced functionality.

How does a JavaScript LLM engineer typically collaborate with data scientists and product teams during model integration?

A JavaScript LLM engineer frequently works alongside data scientists to implement, fine-tune, and deploy large language models within web applications. Collaboration often involves translating model outputs into user-facing features, ensuring API integration is robust, and optimizing performance for web-based environments. Working closely with product teams, these engineers help define requirements, address user feedback, and iterate on features to ensure the LLM meets business goals and user needs. Open communication and regular cross-functional meetings are key to successful integration and continuous improvement.

What is the difference between Javascript Llm vs Javascript Developer?

AspectJavascript LlmJavascript Developer
CredentialsTypically requires knowledge of machine learning, NLP, and AI frameworks, along with JavaScript skillsRequires proficiency in JavaScript, HTML, CSS, and possibly frameworks like React or Node.js
Work EnvironmentOften in AI/ML teams, research labs, or companies developing AI toolsIn web development teams, software firms, or freelance projects
Industry UsageUsed in AI-driven applications, chatbots, and NLP toolsUsed in website development, web app creation, and front-end/back-end development

Javascript Llm focuses on integrating JavaScript with machine learning models for AI applications, while Javascript Developer specializes in building web applications using JavaScript technologies. Both roles require JavaScript skills but serve different industry needs and environments.

What is a JavaScript LLM?

JavaScript LLMs (Large Language Models) are advanced artificial intelligence models that understand and generate human language, and are designed to run within JavaScript environments, such as web browsers or Node.js. They enable developers to integrate powerful AI features like text generation, summarization, and conversational agents directly into web applications without relying on external servers. Recent innovations have made it possible to run smaller, optimized LLMs efficiently in-browser using JavaScript, allowing for privacy-preserving and responsive AI experiences.

What cities in Georgia are hiring for Javascript Llm jobs?

Cities in Georgia with the most Javascript Llm job openings:

AWS Full stack Developer

Xoriant Corporation

Atlanta, GA • On-site

Other

Re-posted 18 days ago


Job description

Senior Software Engineer

We are seeking a skilled Senior Software Engineer to contribute to the full-stack design, development, and delivery of software solutions within a high-velocity engineering team. This role blends deep engineering excellence with a modern AI-first mindset — including the ability to rapidly prototype using GenAI platforms to accelerate team output and

innovation.

WHAT YOU''''LL DO

AWS Cloud, Serverless & Microservices Architecture

  • Design and deliver cloud-native, microservices-based solutions on AWS, applying microservices principles across the full stack — frontend, backend, and cloud infrastructure — to build scalable, secure, and highly available systems, leveraging a broad and growing set of services including but not limited to:
  • Compute: Lambda, Step Functions
  • API, Auth & CDN: API Gateway, Cognito, CloudFront
  • Messaging & Events: SQS, SNS, EventBridge, Kinesis
  • Data: DynamoDB, S3, Aurora Serverless, OpenSearch, Kinesis Firehose
  • Configuration: SSM Parameter Store
  • Observability: CloudWatch, X-Ray
  • IaC: CDK, SAM, CloudFormation
  • And more across the broader AWS ecosystem
  • Build and maintain scalable REST APIs using API Gateway and Lambda
  • Support cloud cost optimization, security posture, and performance tuning efforts
  • Implement CI/CD pipelines, infrastructure-as-code (AWS CDK/SAM), and blue/green deployment strategies
  • Ensure production readiness through observability, automated testing, and monitoring

Full-Stack, Microservices & Cross-Platform Development

  • Design, develop, test, and deploy full-stack applications and microservices across Flutter/Dart (mobile & cross-platform), React/JavaScript (web), and Python/Node.js/Java/Spring Boot (backend)
  • Build responsive, performant web interfaces using React and JavaScript, ensuring seamless user experiences across devices
  • Develop robust backend services and RESTful APIs using Java/Spring Boot, Python, and Node.js following microservices design principles
  • Create and maintain cross-platform mobile and web applications using Flutter/Dart, delivering consistent experiences across iOS, Android, and web
  • Apply microservices best practices including service decomposition, independent deployability, and fault tolerance across the full stack

AI-Assisted Engineering & Rapid Prototyping

  • Rapidly prototype new product concepts using GenAI and LLM platforms
  • Apply AI-assisted development tools to accelerate code generation, testing, documentation, and code review
  • Evaluate AI-generated outputs for correctness, security, and production readiness
  • Follow team-level standards and best practices for AI tool adoption
  • Contribute to ideate → prototype → validate → ship cycles within fast-moving engineering teams

Collaboration & Mentorship

  • Participate in code reviews and contribute to engineering best practices
  • Support and mentor mid-level and junior engineers on design, cloud practices, and AI tool usage
  • Promote a culture of quality, continuous improvement, and learning