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Typescript Llm Jobs in Kansas (NOW HIRING)

Senior Applied AI Engineer

Olathe, KS · On-site

$140 - $190/hr

... 18/19, TypeScript, PostgreSQL, and Firestore. * Secure Multi-Tenancy: Design secure AI ... AI/LLM Integration: Deep, practical experience using Agent Development Kit. You should have a ...

Senior Applied AI Engineer

Overland Park, KS · Remote

$115K - $152K/yr

... 18/19, TypeScript, PostgreSQL, and Firestore. * Secure Multi-Tenancy: Design secure AI ... AI/LLM Integration : Deep, practical experience using Agent Development Kit . You should have a ...

$61K - $79K/yr

Design and build evaluation frameworks for non-deterministic systems, including LLM output quality ... Fluency in at least one of TypeScript, JavaScript, Python, or Java with preference for TypeScript

Build responsive React/TypeScript frontends integrated with Optimizely; design Apollo GraphQL ... Production experience with OpenAI, Google Gemini, or other LLM APIs (prompt engineering, rate ...

Sr AI Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

... enterprise LLM platforms. This engineer independently delivers complex platform capabilities ... Languages: C#, Python, Node.js (JavaScript/TypeScript), RESTful APIs * AI: Azure AI Foundry ...

Design and build AI-powered product features, including LLM-based agents, intelligent automation ... Proficiency in Go, Scala, or TypeScript (React/GraphQL). Experience with Python for ML workflows is ...

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.

What are popular job titles related to Typescript Llm jobs in Kansas?

For Typescript Llm jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Typescript Llm jobs?

Cities in Kansas with the most Typescript Llm job openings:

Senior Applied AI Engineer

Foresite MSP

Olathe, KS • On-site

$140 - $190/hr

Other

Medical, Dental, Retirement, PTO

Posted 5 days ago


Job description

Foresite is looking for a Senior Applied AI Engineer to shape how state-of-the-art AI and autonomous agents power our Managed Security Services Provider (MSSP) platform. We are building the next generation of AI-driven security operations, transforming how threat detection, investigation, and response are conducted.

In this role, you will move beyond basic API integrations to build and deploy complex, multi-agent AI systems. You will leverage the latest model architectures, agent harnesses, Agent Development Kits (ADK), Agent-to-Agent (A2A) interaction patterns, and emerging frameworks. While our ecosystem is anchored on Google Cloud Platform (GCP), we value deep hands-on expertise across model ecosystems (OpenAI, Claude, Gemini, Llama, Mistral) and cloud environments.

What You'll Do
  • Build Complex Agentic Workflows: Architect, harness, and deploy production-grade autonomous agent networks using ADK, A2A communication, and state-of-the‑art agentic frameworks to automate multi‑step security triage and investigation workflows.

  • End-to-End AI Architecture: Own model selection, prompt engineering/harnessing, context retrieval (RAG pipelines), agent orchestration topologies, and automated evaluation/observability frameworks.

  • Production Optimization: Manage context windows, optimize token budgets, implement prompt caching/pruning, and aggressively minimize latency across real‑time RAG, function calling and other such multi‑agent interaction loops.

  • Full-Stack Integration: Collaborate with engineering teams to embed agentic capabilities directly into our customer‑ and analyst‑facing web applications built on React 18/19, TypeScript, PostgreSQL, and Firestore.

  • Secure Multi-Tenancy: Design secure AI architectures enforcing strict customer data isolation, zero‑leakage context management, and enterprise‑grade privacy controls.

  • Technical Leadership & Mentorship: Establish standards for building with LLMs, agent evaluation pipelines, and elevate AI engineering practices across the organization.

Who you are:
  • Engineering Principles: 5+ years of software engineering experience with strong fundamentals (you write production code, not just notebooks).

  • AI/LLM Integration: Deep, practical experience using Agent Development Kit. You should have a proven track record of integrating LLMs into production environments - prompt engineering, context management, RAG architectures, agent frameworks, evaluation and observability.

  • The Modern Stack: You are deeply proficient in React 18/19 and TypeScript. You are comfortable with React Router v7 and modern routing patterns.

  • Data & Backend: You are comfortable designing schemas, writing queries, and reasoning about performance across PostgreSQL and Firestore. You feel at home with modern ORMs and use runtime validation to enforce data integrity at system boundaries.

  • Security: Experience designing secure multi‑tenant AI architectures — you understand how to build LLM integrations that enforce strict data isolation between customers.

  • System Design: Strong understanding of scalable and highly available cloud‑native system design.

  • Product Focused: Experience working closely with product teams to ship user‑facing features.

Senior & Core Expectations:

As a Senior Engineer on our team, you are expected to demonstrate high autonomy and depth across the following pillars:

  • Production Ownership: A proven track record of owning AI/LLM solutions from initial concept and prototyping through full rollout, monitoring, and iteration in a live production environment.

  • Model & Framework Mastery: Hands‑on experience deploying modern LLMs, agent frameworks, Agent Development Kits (ADK), or Agent-to‑Agent (A2A) protocols to production.

  • Cost & Latency Management: Demonstrated proficiency in balancing performance, token usage, context window constraints, and latency within complex RAG or multi‑agent architectures.

  • The Modern Stack: High hands‑on proficiency writing production code, designing database schemas, and reasoning about performance across React 18/19, TypeScript, PostgreSQL, and Firestore.

  • Security & Multi-Tenancy: Experience designing secure multi‑tenant AI systems where strict customer data separation and compliance boundary enforcement are required.

Who you are:
  • Core Software Fundamentals: 5+ years of software engineering experience with robust fundamentals (you write clean, tested, maintainable production code, not just Jupyter notebooks).

  • Applied AI & Agentic Expertise: Practical experience with prompt harnessing, RAG architectures, multi‑agent orchestration, function calling/tool use, evaluation frameworks, and LLM observability.

  • Cloud & Model Versatility: Experience in cloud‑native AI environments (Vertex AI/GCP preferred, but multi‑cloud background in AWS/Azure is equally welcome). Broad familiarity with leading closed‑source and open‑source models (Claude, Gemini, GPT‑4, Llama, Mistral).

  • Data Engineering Competency: Comfortable designing schemas, writing queries, and managing ORM data integrity across relational (PostgreSQL) and document (Firestore) databases.

  • Product‑Minded Engineer: Passionate about partnering with product managers and security analysts to deliver features that create true operational leverage.

Nice to have:
  • Infrastructure as Code (IaC): Proficiency with Terraform or similar tools for cloud platform provisioning and orchestration.

  • Cloud Security Ecosystem: Experience or interest in cloud security tools (Google Cloud SecOps, Security Command Center, Mandiant, SOAR systems).

  • Advanced Multi‑Modal Workflows: Experience with multi‑modal inputs/outputs, streaming agent architectures, or custom agent routing engines.

Why Join Foresite?

Foresite is a mission‑driven partner helping organizations navigate complex cyber threat landscapes. Founded by security practitioners, we’ve grown into a global leader in SecOps and MDR by staying true to our core value: radical transparency.

For software engineers, Foresite is a place where you can build high‑performance, multi‑tenant SaaS platforms without the drag of legacy bureaucracy. We are a "humans‑first" engineering organization where we build to scale, respect technical depth, and treat developer well‑being as a top priority. As a Google Cloud Premier SecOps Partner, we operate on the cutting edge of cloud‑native infrastructure, giving you the runway to solve highly complex, real‑world distributed systems challenges.

What we offer:
  • Modern Tech Stack & Best Practices: Work with a clean, modern stack including React 19, TypeScript, Tailwind CSS, PostgreSQL, Drizzle ORM, and Google Cloud Platform (GCP). We believe in shipping safely and frequently using stacked PR workflows, comprehensive Vitest/Playwright test suites, and robust CI/CD pipelines.

  • Impactful Work on AI & Automation: You won't just maintain legacy code. You’ll design scalable data access patterns, build modular service/repository architectures, and deploy cutting‑edge AI and agentic automation to protect global enterprises from modern cyber threats.

  • Growth, Mentorship & Training: Foresite directly encourages and funds continuous learning. We provide pre‑approved vendor and technical training entirely at our expense, alongside a culture of supportive peer code reviews and deep technical mentorship.

  • Comprehensive Health & Wellness: Enjoy top‑tier health coverage, including robust medical, company‑paid dental, short‑term (STD), and long‑term disability (LTD) plans.

  • Time to Recharge: We believe in high performance, not burnout. We offer a competitive Paid Time Off (PTO) package starting at 2 weeks of paid vacation (accruing up to 4 weeks based on tenure), plus paid sick leave and 10 paid company holidays (including a floating holiday) to ensure you have the flexibility to rest.

  • 401(k) Company Match: Secure your financial future with our competitive retirement match program— we match 100% of your first 3% contribution, and 50% of the next 2% contribution.

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