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Typescript Llm Jobs in Washington (NOW HIRING)

Senior Agentic AI Engineer

Reston, VA ยท On-site

$59 - $77/hr

Large Language Models (LLM). * Retrieval-Augmented Generation (RAG). * Microsoft Azure. * Azure AI Search. * React. * TypeScript. * Node.js. * Microsoft Agent Framework. * Azure AI Foundry.

FastAPI services, PostgreSQL schema/migrations, and React/TypeScript UI in an Nx monorepo * Design, implement, and maintain LLM/RAG pipelines using LangChain (Python) or LangChain4J (Java)--retrieval ...

Agentic AI Engineer

Reston, VA ยท On-site

$127K - $168K/yr

Build LLM-powered applications for text generation, summarization, Q&A, conversational AI ... Develop and maintain user-facing AI application experiences using React and TypeScript, and ...

... TypeScript and Express for containerized and serverless (AWS Lambda) delivery, backed by an LLM-driven multi-agent orchestration framework. * Drive technical design, document key decisions (e.g ...

... TypeScript and Express for containerized and serverless (AWS Lambda) delivery, backed by an LLM-driven multi-agent orchestration framework. * Drive technical design, document key decisions (e.g ...

The ideal candidate has built LLM applications and has experience deploying applications on AWS or ... React or TypeScript * Healthcare, HR technology, workflow automation, or enterprise SaaS products ...

New

Senior AI Software Engineer

Washington, DC ยท On-site +1

$138K - $182K/yr

Build and maintain LLM-powered features including retrieval-augmented generation systems ... Build Python or Typescript based backend services that expose AI capabilities to product and ...

Senior AI Software Engineer

Washington, DC ยท On-site +1

$138K - $182K/yr

Build and maintain LLM-powered features including retrieval-augmented generation systems ... Build Python or Typescript based backend services that expose AI capabilities to product and ...

Senior AI Software Engineer

Washington, DC ยท On-site +1

$138K - $182K/yr

Build and maintain LLM-powered features including retrieval-augmented generation systems ... Build Python or Typescript based backend services that expose AI capabilities to product and ...

Angular Developer

Dulles, VA ยท Remote

$56 - $68.50/hr

... LLM-based assistants, and automation agents into frontend workflows and user experiences. - Work ... TypeScript, and RxJS. - Strong understanding of HTML5, CSS3, and component-based UI design ...

Support AI-powered web applications using React, TypeScript, or modern frontend frameworks. * Evaluate LLM applications for accuracy, relevance, hallucinations, latency, security, and cost.

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Showing results 1-20

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 Washington?

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

What cities in Washington are hiring for Typescript Llm jobs?

Cities in Washington with the most Typescript Llm job openings:

Infographic showing various Typescript Llm job openings in Washington as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Agentic AI Engineer

Reston, VA โ€ข On-site

CYNET SYSTEMS
IT Servicesย โ€ขย 501 - 1,000 employees

$59 - $77/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday


Job description

Job Overview:

Pay Range: $59.35hr - $77.03hr

Requirement/Must Have:

  • Bachelor’s degree (or international equivalent) and 8+ years of relevant software engineering experience.
  • 2-3 years of hands-on Generative AI, LLM application, or Agentic AI solution development experience.
  • Strong software engineering background with experience designing and deploying production-grade cloud applications.
  • Experience building front-end applications with React and TypeScript, and back-end services with Node.js or comparable application frameworks.
  • Hands-on experience building Generative AI and RAG applications with Azure AI Foundry, Azure OpenAI, Azure AI Search, LLM APIs, embeddings, vector or hybrid search, knowledge retrieval, grounding, and citations.
  • Experience with Agentic AI frameworks such as Microsoft Agent Framework, Semantic Kernel, LangGraph, AutoGen, or comparable orchestration frameworks; including single-agent and multi-agent systems, tool-calling workflows, and human-in-the-loop controls.
  • Experience evaluating and improving agent quality, including prompt engineering, test datasets, LLM-based evaluation, safety checks, and production feedback loops.
  • Strong knowledge of LLMOps, CI/CD, containerization (Docker and Kubernetes), observability, and production operations for AI applications.
  • Good understanding of RESTful API principles, asynchronous application patterns, secure integrations, relational databases, SQL, and data-access patterns; familiarity with SQL/NoSQL data stores and data engineering or ETL pipelines.
  • Experience working in an enterprise environment with large-scale, secure AI deployments, including identity, authorization, data privacy, compliance, and production monitoring.
  • Strong analytical, problem-solving, collaboration, and communication skills.

Responsibilities:

  • Build LLM-powered applications for text generation, summarization, Q&A, conversational AI, enterprise knowledge search, and multi-agent orchestration.
  • Develop advanced RAG pipelines using embeddings, Azure AI Search vector and hybrid retrieval, document chunking, metadata filtering, reranking, citations, and grounding techniques with enterprise data.
  • Build secure, reliable integrations between AI agents and enterprise tools, REST APIs, relational databases, and event-driven services.
  • Develop and maintain user-facing AI application experiences using React and TypeScript, and supporting application services using Node.js or comparable back-end technologies.
  • Design and implement single-agent and multi-agent systems for intelligent automation, decisioning, and complex workflows.
  • Build autonomous and human-in-the-loop agents that plan, reason, act, and interact with tools, APIs, enterprise data, and event-driven systems.
  • Develop agentic workflows using Microsoft Agent Framework, Azure AI Foundry services, or comparable modern orchestration frameworks.
  • Implement configuration-driven agent behavior, prompt and tool management, authorization boundaries, and resilient error-handling patterns.
  • Define and automate evaluation approaches for agent quality, including groundedness, relevance, citation quality, safety, and regression testing.
  • Instrument agent workflows for traces, tool calls, latency, token usage, errors, and operational metrics using OpenTelemetry, Application Insights, or comparable observability platforms.
  • Build highly scalable, secure, containerized solutions with CI/CD, health checks, horizontal scaling, and production monitoring.

Skills:

  • Generative AI.
  • Large Language Models (LLM).
  • Retrieval-Augmented Generation (RAG).
  • Microsoft Azure.
  • Azure AI Search.
  • React.
  • TypeScript.
  • Node.js.
  • Microsoft Agent Framework.
  • Azure AI Foundry.
  • OpenTelemetry.
  • Docker.
  • Kubernetes.
  • CI/CD.
  • SQL.
  • NoSQL.

Qualification And Education:

  • Bachelor’s degree in a relevant field.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.


Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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