1

Javascript Llm Jobs in Georgia (NOW HIRING)

Senior AI Solutions Engineer

Alpharetta, GA ยท On-site

$128K - $216K/yr

... 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 ...

Deployed Engineer (Atlanta)

Atlanta, GA ยท On-site

$150K - $250K/yr

Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling

Principal SF Developer

Johns Creek, GA ยท Hybrid

$51.50 - $68.25/hr

... or LLM integrations). * Establish and enforce coding standards, development frameworks, best ... Strong command of programming and web technologies (Apex, JavaScript, HTML/CSS) and version control ...

AI Architect

Atlanta, GA ยท Hybrid

$73K - $174K/yr

... JavaScript * Own end-to-end product experiences, not just backend systems. * Develop solutions for video and rich media processing. Your skills and experience * Architect with expertise in AI/LLM ...

... AI, LLM integration, prompt engineering, and AI orchestration Programming/scripting languages such as C#, VB.NET, Python, PowerShell, or JavaScript Cloud platforms and enterprise authentication ...

Senior Front End Engineer

Atlanta, GA ยท On-site +1

$117K - $162K/yr

Integrate front-end applications with backend APIs and AI/LLM-driven services * Proactively ... JavaScript * Strong handson experience with Next.js , including performance optimization and ...

Palantir Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Experience leveraging Palantir Artificial Intelligence Platform (AIP) for large language model (LLM) integration and AI-enabled workflows * Experience with JavaScript, TypeScript, HTML, and CSS

Showing results 41-60

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:

Senior AI Solutions Engineer

Monitise

Alpharetta, GA โ€ข On-site

$128K - $216K/yr

Full-time

Re-posted 25 days ago


Job description

Calling all innovators - find your future at Fiserv.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Senior AI Solutions Engineer

About the role

As a Senior AI Solutions Engineer, you will be the technical expert other engineers, product owners, and business leaders come to when they want to ship an AI agent. You will design and build production agents against both the Microsoft 365 Copilot/Copilot Studio ecosystem and the Anthropic Claude platform and set the patterns and guardrails that the rest of the organization adopts.

What you'll do

  • Design, build, deploy, and maintain production AI agents that automate enterprise workflows and augment employee productivity by owning the full lifecycle - requirements, architecture, prompt and tool design, evaluation, rollout, monitoring, and iteration
  • Serve as the hands-on expert for Anthropic's Claude platform, Microsoft 365 Copilot, Copilot Studio, and the broader Microsoft agent ecosystem
  • Build custom agents, connectors, and extensions that integrate with Microsoft Graph, SharePoint, Teams, Outlook, and line-of-business systems
  • Design multi-step agent architectures: tool use, retrieval (RAG), memory, orchestration across multiple models and systems, human-in-the-loop checkpoints, and graceful failure modes
  • Build and maintain the evaluation harnesses that tell us whether an agent is actually working - offline evaluations, regression tests, production telemetry, cost and latency tracking, and quality metrics tied to business outcomes rather than vibes
  • Partner with security, compliance, legal, and model risk management to make sure every agent we ship meets company standards for data handling, auditability, access control, and responsible AI use
  • Set the technical patterns that let other engineers across Fiserv build on what you've built instead of starting from zero
  • Evaluate new models, frameworks, and platform releases as they land and make clear, opinionated recommendations about what we should adopt, what we should ignore, and why

What you'll need to have

  • 7+ years of software engineering experience
  • 5+ years of experience with Python, Typescript/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
  • 2+ years of hands-on experience with frontier LLM APIs (Anthropic Claude, OpenAI, Google, or Azure OpenAI)
  • Demonstrated experience with Claude Code or equivalent agentic coding tools as part of your own development workflow, and the judgment to know when to use them vs. when to write code directly
  • Prior experience with at least one agent framework (LangChain/LangGraph, Anthropic's agent SDK, Semantic Kernel, AutoGen, CrewAI)
  • Bachelor's degree in computer science, or a relevant field, or an equivalent combination of education, work, and/or military experience

What we'd love you to have

  • Prior experience in financial services, payments, or another regulated industry, and familiarity with how AI governance, model risk management, and audit actually work in those environments
  • Ability to communicate clearly in writing and in meetings with both technical peers and non-technical stakeholders, including senior leadership
  • Familiarity with Microsoft Graph APIs, Azure AI services, and how to build, deploy, and govern agents inside a Microsoft-centric enterprise
  • Working knowledge of RAG architectures, vector databases, embedding models, and the evaluation methodology
  • Experience building and publishing MCP servers, or building agents that consume them
  • Background in information security, particularly email security, identity, or threat detection
  • Experience with agent evaluation frameworks (Anthropic's evals, Braintrust, Langfuse, Arize, or similar) and with production LLM observability

How you'll work:

  • Fiserv emphasizes in-person collaboration to help you grow your career while shaping the future of fintech, this role is on-site Monday through Friday
  • This role requires flexibility to work overtime that may include weekends
  • This role requires use of a computer and audio equipment

Travel:

  • Approximately 5% travel off-site or to other office locations is expected

Sponsorship:

  • In order to be considered, you must be legally authorized to work in the U.S. without need for visa sponsorship now or in the future

#LI-AB2

Salary Range

$128,000.00 - $216,000.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.

Thank you for considering employment with Fiserv. Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contactAskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements.Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.