Applied AI engineer (Englewood Cliffs)

HSAD North AmericaEnglewood Cliffs, NJ, US

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Applied AI Engineer

Position Overview

We are seeking an Applied AI Engineer with a strong software engineering background to join our AI initiative team, focusing on building production LLM applications and implementing cutting-edge AI solutions. This role requires hands-on coding expertise across full-stack development with emphasis on LLM / RAG systems.

Key Responsibilities

Build production LLM applications using FastAPI / Spring Boot backends with React / Next.js frontends
Implement and optimize RAG systems with vector databases (Pinecone, Weaviate, OpenSearch)
Develop reusable LLM components (prompt engineering, chain orchestration, response streaming)
Create REST / GraphQL APIs for AI services integration
Deploy containerized AI applications on AWS (ECS / EKS, Lambda)
Assess and evaluate AI tools, making strategic build vs. buy recommendations
Implement caching, rate limiting, and guardrails for LLM APIs

Required Technical Skills

Programming Languages & Frameworks

Python : FastAPI, Flask, Django (3+ years required)

Java : Spring Boot, Spring Security, Spring Data

JavaScript : React, Next.js, Node.js

Strong API development and microservices architecture

AI / ML Frameworks & Tools (Required)

RAG Implementation : MUST HAVE - Production experience with RAG pipelines

LangChain / LlamaIndex : Building AI applications and chains

Vector Databases : Pinecone, Weaviate, OpenSearch

Embedding Models : OpenAI, Cohere, Sentence Transformers

Data Science : Foundation knowledge

Development Tools (Required)

Cursor OR Windsurf : AI-powered development environments

GitHub Copilot / CodeWhisperer : AI productivity tools

AWS Cloud Platform (Required)

AWS Bedrock : Managed foundation models

Prompt Engineering : Advanced prompt design and optimization

AI Guardrails : Safety and content filtering mechanisms

Additional : Lambda, ECS / EKS, API Gateway, S3, DynamoDB

Experience Requirements

3-5 years in software engineering

eCommerce experience strongly preferred (product search, chatbots, personalization)

Production web application development

Agile / DevOps practices

What You'll Work On

eCommerce AI features : conversational commerce, semantic search, content generation

API-first AI microservices following best practices

POCs demonstrating AI capabilities and ROI

Technical documentation and implementation guide

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Applied Ai Engineer • Englewood Cliffs, NJ, US

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