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Typescript Llm Jobs in Juneau, WI (NOW HIRING)

Typescript Llm information

What is a TypeScript LLM?

TypeScript LLMs refer to the integration and use of large language models (LLMs) within TypeScript-based projects. These models, such as OpenAI's GPT, are accessed through APIs and can be used to process language tasks like text generation, code completion, or natural language understanding within TypeScript applications. Developers often use client libraries or SDKs that allow seamless communication between their TypeScript code and the LLM. This enables building intelligent features directly into web and server-side applications written in TypeScript.

What skills and qualifications are needed to thrive as a TypeScript LLM engineer?

To thrive as a TypeScript LLM Engineer, you need strong proficiency in TypeScript, JavaScript, and foundational knowledge of large language models (LLMs), usually supported by a degree in computer science or a related field. Familiarity with popular LLM frameworks (such as Hugging Face Transformers), RESTful APIs, version control systems like Git, and cloud platforms is typically expected. Excellent problem-solving, communication, and teamwork skills help individuals excel in collaborative and rapidly evolving environments. These skills and qualifications ensure robust code quality, effective integration of AI models, and successful project outcomes in the dynamic field of AI development.

What are common challenges faced by a TypeScript LLM developer when integrating large language models into existing applications?

Typescript LLM developers often face challenges such as ensuring seamless interoperability between TypeScript code and language model APIs, managing data privacy and security, and optimizing performance for real-time responses. Additionally, handling model updates or changes in API endpoints can introduce breaking changes that need careful version control and testing. Collaborating closely with product managers and backend engineers is crucial to align model outputs with business requirements and maintain a smooth user experience.

What is the difference between Typescript Llm vs Frontend Developer?

AspectTypescript LlmFrontend Developer
Required SkillsProficiency in TypeScript, machine learning concepts, AI model integrationHTML, CSS, JavaScript, UI/UX design
Work EnvironmentTech companies, AI research labs, software development firmsWeb development agencies, tech companies, startups
CertificationsTypeScript certifications, AI/machine learning coursesWeb development certifications, JavaScript/HTML/CSS courses
Industry UsageAI-driven applications, software tools involving language modelsWebsite interfaces, web applications, user-facing platforms

While Typescript Llm specialists focus on integrating language models with TypeScript in AI applications, Frontend Developers primarily build and design user interfaces using web technologies. Both roles require technical skills but differ in their focus areas and industry applications.

Infographic showing various Typescript Llm job openings in Juneau, WI as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

Senior AI Solutions Engineer

Bruno Independent Living Aids, Inc.

Oconomowoc, WI • On-site

$55.25 - $71.25/hr

Full-time

Re-posted 20 days ago


Job description

Architect, develop, and deploy software solutions at high velocity using an AI-first, agentic development workflow.  This role demands a language-agnostic polyglot developer who leverages LLM-powered coding agents as a force multiplier to deliver 10x the output of traditional development approaches.  Additional responsibilities include system integrations, BI solutions, and supporting Tech-Ops infrastructure on-premises and in-cloud.


AI-FIRST SOFTWARE DEVELOPMENT

  • Scope, design, develop, and deploy software applications, integrations, APIs, and database services using agentic LLM coding workflows as the primary development methodology.
  • Maintain and extend existing ERP customizations and develop new solutions across multiple languages and platforms, selecting the best tool for each task.
  • Maintain and extend integration platform operations (e.g., Jitterbit) and CRM customizations (e.g., Salesforce APEX), leveraging AI-assisted coding for rapid iteration.
  • Participate in review / recommendation of externally purchased IT solutions and services.
  • Manage hardware and software vendor relationships
  • Champion and evangelize AI-first development practices across the IT team; mentor peers on agentic coding workflows, prompt engineering, and LLM-augmented development to accelerate team-wide adoption and output.
  • Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor agent patterns that orchestrate swarms of specialized sub-agents to decompose and execute complex development and business automation tasks.
  • Create and maintain documentation, training materials, and AI workflow playbooks for IT systems, software, integrations, APIs, and development procedures

BUSINESS ANALYSIS

  • Work closely with company managers to identify informational needs and develop solutions to provide efficient information processing and valuable information for business analysis
  • Provide lifecycle support of applications and contribute to the development of new concepts, techniques, and standards
  • Implement and manage long-term, system-wide IT initiatives that align with the company’s business strategy and objectives 

HARDWARE AND PLATFORM SUPPORT

  • Recommend and participate in the deployment, monitoring, maintenance, development, upgrade and support of IT hardware and software including telecommunications, servers, PC’s, operating systems, and office automation equipment – both on premise and in-cloud PaaS & IaaS
  • Benchmark, analyze, report on and make recommendations for improvement of and growth of IT infrastructure and IT systems
  • Recommend efficient and cost-effective technological equipment, systems, platforms and services
  • Identify problematic areas and implement strategic solutions in a timely manner
  • Maintain confidentiality of proprietary information
  • Stay current with rapidly evolving AI/LLM tooling, agentic frameworks, and emerging development paradigms; continuously evaluate and adopt new AI-powered development tools

Education and Experience:

  • Position requires a Bachelor’s degree in computer science or related field and a minimum of 6 years progressive experience with 3 years preferably in a mid-sized manufacturing environment. 

  • Candidate must demonstrate a proven AI-first development workflow using agentic LLM coding tools (e.g., Claude Code, GitHub Copilot Workspace, Cursor, Windsurf, or similar) as their primary development method. 

  • Must be a language polyglot comfortable architecting and delivering solutions across multiple technology stacks rather than being tied to a single language or framework. 

  • Required experience includes SQL, RESTful APIs, system integrations, GIT, BI reports/dashboards, databases, and vendor management. 

  • Proficiency in prompt engineering for code generation, agentic task orchestration, and AI-assisted debugging is essential. 

  • Experience with .NET/C#, JavaScript/TypeScript, Python, or other modern languages expected; experience with Epicor, Jitterbit, and Salesforce preferred. 

  • Strong preference for candidates who have built custom LLM agent harnesses, orchestrated multi-agent swarms under a manager/supervisor agent pattern, or developed agentic pipelines that coordinate specialized sub-agents for complex, multi-step workflows.

Knowledge, Skills and Abilities:

  • Proven expertise with agentic LLM coding tools and AI-assisted development workflows. 
  • Ability to work fluently across multiple programming languages and technology stacks without being dependent on any single ecosystem. 
  • Strong prompt engineering skills for code generation, debugging, and architectural planning. 
  • Familiarity with multi-agent system design, including manager-agent orchestration layers and agent swarm coordination patterns. 
  • Read, analyze, and interpret a variety of information, such as technical procedures, business correspondence, and governmental regulations furnished in written, oral or diagram form. 
  • Effectively present information to employees, management, and customers. 
  • Create business-level written correspondence and verbally present information to large or small groups, both internally and externally. 
  • Requires Microsoft Office proficiency and the ability to operate a variety of standard office equipment. 

Working Conditions/Physical Demands:

  • Office environment, with occasional lifting and bending