1

Ai Frontend Developer Jobs in Delaware (NOW HIRING)

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Collaborate with the frontend team to integrate frontend and backend systems seamlessly * Ensure ... AI or machine learning platforms. * Strong knowledge of programming languages such as Python, R ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Collaborate with the frontend team to integrate frontend and backend systems seamlessly * Ensure ... AI or machine learning platforms. * Strong knowledge of programming languages such as Python, R ...

The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust ... Collaborate with the frontend team to integrate frontend and backend systems seamlessly * Ensure ...

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a ... Minimum 2 years UI & frontend development with React.js, Typescript, and HTML * Strong hands-on ...

$120 - $170/hr

Software Engineer III - Java / Transformative AI/LLMJob Information * Job Identification 210751624 ... Familiarity with event-driven architectures and modern front-end technologies such as React. * AWS ...

next page

Showing results 1-20

Ai Frontend Developer information

What is the difference between Ai Frontend Developer vs Machine Learning Engineer?

AspectAi Frontend DeveloperMachine Learning Engineer
CredentialsBachelor's in CS, Web Development skillsBachelor's/Master's in CS, Data Science or ML specialization
Work EnvironmentWeb development teams, UI/UX focusData science teams, algorithm development
Industry UsageAI-powered web apps, interactive interfacesAI models, data pipelines, predictive systems
Search & Comparison IntentFocus on frontend AI integrationFocus on AI model development

While both roles involve AI, an Ai Frontend Developer specializes in integrating AI features into web interfaces, whereas a Machine Learning Engineer focuses on developing and deploying AI models and algorithms. The roles often collaborate but differ in technical focus and work environment.

What are popular job titles related to Ai Frontend Developer jobs in Delaware?

For Ai Frontend Developer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Ai Frontend Developer jobs in Delaware look for?

The top searched job categories for Ai Frontend Developer jobs in Delaware are:

What cities in Delaware are hiring for Ai Frontend Developer jobs?

Cities in Delaware with the most Ai Frontend Developer job openings:

Infographic showing various Ai Frontend Developer job openings in Delaware as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Gen AI Engineer - Wilmington, DE, Fairfax, VA, Washington, DC, Silver Spring, MD, Philadelphia, PA

TechniPros, LLC

Wilmington, DE • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: GenAI Engineer
Location: Wilmington, DE, Fairfax, VA, Washington, DC, Silver Spring, MD, Philadelphia, PA
Contact: 12+ Months
Looking for W2 candidates. No C2C

Job Summary
We are looking for an experienced GenAI Engineer to design and build next-generation AI applications using Google Gemini, Vertex AI, and the Google Cloud Platform (Google Cloud Platform) ecosystem. The ideal candidate will have strong expertise in LangChain, LangGraph, Retrieval-Augmented Generation (RAG), agentic AI workflows, and scalable cloud-native architectures. This role involves building production-grade AI solutions, integrating LLMs into enterprise applications, and developing intelligent multi-agent systems.

Key Responsibilities
•    Design, develop, and deploy Generative AI applications powered by Google Gemini (Pro, Flash, Ultra) and Vertex AI.
•    Build advanced prompt pipelines, RAG applications, and AI workflows using LangChain.
•    Design and implement stateful, multi-agent AI systems using LangGraph.
•    Develop scalable AI solutions utilizing Google Cloud services including Vertex AI Search, BigQuery, Cloud Run, Cloud Storage, and IAM.
•    Build robust data ingestion pipelines supporting multiple document formats.
•    Implement vector search architectures using Vertex AI Vector Search or vector databases such as Chroma, Milvus, Pinecone, Weaviate, or Qdrant.
•    Optimize LLM performance using prompt engineering, few-shot learning, and PEFT techniques.
•    Establish evaluation metrics for LLM accuracy, latency, hallucination detection, and model performance.
•    Implement LLMOps best practices including observability, scalability, monitoring, and security.
•    Develop REST APIs using FastAPI or Flask to expose AI services.
•    Collaborate with Product Managers, Data Engineers, and Front-End Developers to integrate AI capabilities into enterprise applications.

Required Qualifications
•    Strong programming experience in Python.
•    Experience building REST APIs using FastAPI or Flask.
•    Hands-on experience with Google Gemini APIs, Vertex AI, and other enterprise LLM platforms.
•    Strong expertise with Langchain and LangGraph.
•    Experience implementing RAG architecture.
•    Strong knowledge of Google Cloud Platform (Google Cloud Platform).
•    Experience with Vertex AI, IAM, Cloud Run, BigQuery, and Google Cloud Storage.
•    Experience working with Vector Databases including Pinecone, Weaviate, Qdrant, Chroma, or Milvus.
•    Strong SQL and NoSQL database experience.
•    Experience debugging complex AI pipelines and distributed applications.
•    Strong problem-solving and communication skills.

Preferred Qualifications
•    Google Cloud Professional Machine Learning Engineer Certification.
•    Google Cloud Professional Cloud Architect Certification.
•    Experience with Llama Index.
•    Experience with Hugging Face.
•    Experience with React and TypeScript.
•    Knowledge of Agentic AI architectures.
•    Experience with MLOps or LLMOps platforms.

Required Skills
•    Python
•    Google Gemini
•    Vertex AI
•    Google Cloud Platform (Google Cloud Platform)
•    Langchain
•    LangGraph
•    FastAPI
•    Flask
•    RAG
•    Prompt Engineering
•    Vector Databases
•    Pinecone
•    Weaviate
•    Qdrant
•    Chroma
•    Milvus
•    BigQuery
•    Cloud Run
•    Google Cloud Storage
•    REST APIs

Preferred Skills
•    Llama Index
•    Hugging Face
•    React
•    TypeScript
•    PEFT
•    LLMOps
•    Agentic AI
•    Vertex AI Vector Search
•    Few Shot Learning
•    Cloud Architecture

Best Regards: 

Julia T
Phone:
Email: