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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 ...

Luminary Cloud

LLM Engineer

San Mateo, CA · On-site

Experience with TypeScript for full-stack development * Experience with Go for backend systems ... Contributions to open-source LLM projects or research publications

Upstart

Principal Engineer, LLM

OR · On-site +1

As a Principal Engineer - GenAI/LLM, you will provide technical leadership across multiple cross ... Full-stack engineering experience (Python, FastAPI, Kotlin, Spring, React/TypeScript, or similar)

Upstart

Principal Engineer, LLM

As a Principal Engineer - GenAI/LLM, you will provide technical leadership across multiple cross ... Full-stack engineering experience (Python, FastAPI, Kotlin, Spring, React/TypeScript, or similar)

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Typescript Llm information

What are TypeScript LLMs?

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 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.

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

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 some 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.
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Typescript Llm jobs near you
Infographic showing various Typescript Llm job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
Senior Software Engineer (TypeScript/Node.js)

Senior Software Engineer (TypeScript/Node.js)

E-Solutions

San Jose, CA

$152K - $189K/yr

Other

Posted 4 days ago

Job description

Expert TypeScript/Node.js Engineer

We’re hiring an expert TypeScript/Node.js engineer to build production-grade GenAI services and developer tools. You’ll design and ship APIs, microservices, and prompt/LLM workflows on Google Cloud—leveraging Vertex AI, Gemini models, and the Gemini CLI—to deliver reliable, secure, and measurable business impact.

Responsibilities:

  • Design, implement, and own backend services in TypeScript/Node.js (Express/NestJS).
  • Build LLM-enabled features (retrieval, tool use, structured outputs) using Vertex AI and Gemini models; automate workflows with Gemini CLI.
  • Create, version, and evaluate prompts (zero/one/few-shot), including guardrails, safety filters, and offline/online prompt A/B tests.
  • Develop RAG and function/tool-calling pipelines; integrate vector stores and scalable embeddings on GCP.
  • Ship resilient APIs on Cloud Run/Functions/GKE, with Pub/Sub events, caching, and observability (Logging, Trace, Metrics).
  • Establish LLM evals (quality, latency, toxicity, hallucination) and telemetry/feedback loops for continuous improvement.
  • Harden services for security, privacy, and compliance (PII handling, data residency, secrets management).
  • Collaborate with product, ML, and UX to scope, estimate, and deliver features in iterative milestones.
  • Champion performance (p95 latency), cost efficiency (tokens/req), and reliability (SLOs, error budgets).
  • Mentor engineers on GenAI patterns, prompt engineering, and TypeScript best practices.
  • Building backend systems with TypeScript/Node.js ; expert in language/runtime internals, async patterns, and performance profiling.
  • Production experience with Google Cloud and Vertex AI (endpoints, model registry, evals) and Gemini models (text, multimodal, function calling).
  • Hands-on with Gemini CLI for rapid experimentation, prompting, and workflow automation.
  • Proven prompt engineering skill: prompt design/versioning, system prompts, safety strategies, and measurable eval frameworks.
  • Strong with REST/GraphQL, API contracts, schema validation (OpenAPI/Zod), and automated testing (Jest/Vitest).
  • CI/CD (Cloud Build/GitHub Actions), IaC (Terraform), and containerization (Docker).
  • Observability mindset: structured logging, distributed tracing, metrics/alerts.
  • Solid security fundamentals (OAuth2/JWT, least privilege IAM, secret rotation, threat modeling).

Tech Stack:

  • TypeScript, Node.js
  • GCP (Cloud Run, Functions, GKE, Pub/Sub, Cloud Storage, Firestore/BigQuery, Secret Manager)
  • Vertex AI, Gemini models, Gemini CLI

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