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Typescript Llm Jobs (NOW HIRING)

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LLM Applications Engineer

New York, NY · On-site

$130K - $175K/yr

As an LLM Applications Engineer, you will be the architect of our LLM infrastructure. You won't ... Proficiency in Python and JavaScript/TypeScript: Ability to work across the AI backend and the ...

CYNET SYSTEMS

IT Sr Automation Engineer

Boston, MA · Remote

$70 - $90/hr

React * TypeScript * LLM / AI APIs * RPA Architecture * REST APIs * Github Actions / CI-CD * Jira * Snowflake * Python * C# * Power BI * SharePoint * RAG Pipelines * Azure OpenAI * SAFe Agile ...

SupportFinity™

LLM Applications Engineer

Manhattan, NY · On-site

$130 - $175/hr

Proficiency in Python and JavaScript or TypeScript * Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Haystack * Hands‑on experience building production RAG pipelines ...

Arize AI

Open Source AI Engineer (Typescript)

$185K - $200K/yr

Build LLM Observability Frameworks: Design, architect, and open-source new libraries, pipelines ... Strong TypeScript Proficiency: You understand TypeScript and can write isomorphic code that ...

Arize AI

Open Source AI Engineer (Typescript)

$185K - $200K/yr

Build LLM Observability Frameworks: Design, architect, and open-source new libraries, pipelines ... Strong TypeScript Proficiency: You understand TypeScript and can write isomorphic code that ...

Madrona Venture Labs

Lead AI / LLM Engineer

San Mateo, CA · On-site

$180 - $230/hr

As Lead AI/LLM Engineer, this is a hands-on role, you'll build and deploy the AI systems powering ... Next.js + React 19 + TypeScript 5 -- SSR, Server Components, API routes * React Query -- server ...

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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.

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Typescript Llm jobs near you
Infographic showing various Typescript Llm job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Junior AI Engineer, Financial Services

Jobtailor

Atlanta, GA • On-site

$150 - $190/hr

Other

Posted 5 days ago

Job description

  • Add AI capabilities to existing full-stack applications, including LLM-powered features, workflows, and interfaces
  • Build and improve retrieval-augmented generation (RAG) systems with a Senior AI Engineer
  • Develop chunking and embedding strategies, retrieval-quality processes, and evaluations
  • Manage context windows and model inputs across text, documents, and images
  • Help design agentic workflows involving multi-step LLM pipelines, tool use, and orchestration
  • Prompt-engineer and evaluate LLM workflows
  • Write clean, testable services and data pipelines
  • Translate investment and operations workflow needs into concrete technical problems
  • Take sprint tasks directly within 90 days and contribute to active RAG or agentic workflow projects
  • Assume increasing ownership of a RAG or agentic workflow component and contribute to evaluation and testing pipelines within one year
  • Work closely with a Senior AI Engineer on a small embedded technology team
Requirements
  • Strong software engineering fundamentals in Node.js and TypeScript
  • Experience with REST APIs, async and promise-based concurrency, and testing frameworks such as Jest or Vitest
  • Everyday comfort with Git
  • Exposure to cloud infrastructure, ideally AWS
  • Exposure to AWS AI and LLM services such as Bedrock, Bedrock AgentCore, and Knowledge Bases for Bedrock
  • Practical experience with LLM APIs such as OpenAI, Anthropic, or similar
  • Experience with function calling, tool use, structured outputs, streaming responses, token usage, and context-window limits
  • Hands-on experience building a real LLM project, prototype, or shipped feature
  • Experience designing LLM-in-the-loop evaluation and testing pipelines
  • Experience with golden datasets, LLM-as-judge scoring, and regression tests for prompts and retrieval
  • Familiarity with tools such as promptfoo, Braintrust, or Ragas
  • Comfort using AI-native development tools such as Claude Code or Cursor
  • Ability to measure prompt, retrieval, and model changes using evaluation scores, latency, or cost-per-call metrics
  • Coachability and initiative
  • Clear communication with non-technical investment and operations professionals
  • Bonus: familiarity with Python, AWS Amplify, RAG mechanics, vector stores, hybrid search, reranking, agent/RAG frameworks, production AI features, data sensitivity, or MCP
Core Competencies

Demonstrates strong software engineering fundamentals with expertise in Node.js and TypeScript, alongside practical experience in developing and evaluating LLM workflows and retrieval-augmented generation systems. Capable of translating complex operational needs into technical solutions while effectively collaborating with cross-functional teams.

Highest-signal resume keywords
  • Node.js
  • TypeScript
  • LLM APIs
  • AWS AI Services
  • RAG Systems
ATS Optimization Keywords Hard Skills
  • Software Engineering Fundamentals
  • REST APIs
  • Async Programming
  • Testing Frameworks
  • Function Calling
  • Tool Use
  • Structured Outputs
  • Streaming Responses
  • Context-Window Management
  • Evaluation Metrics
Soft Skills
  • Coachability
  • Initiative
  • Clear Communication
Industry Keywords
  • Retrieval-Augmented Generation
  • LLM Workflows
  • Agentic Workflows
  • Golden Datasets
  • LLM-as-Judge Scoring
Tools & Technologies
  • Git
  • AWS
  • Promptfoo
  • Braintrust
  • Ragas
  • Claude Code
  • Cursor
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