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Applied AI engineer

Applied AI engineer

HSAD North AmericaEnglewood Cliffs, NJ, United States
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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, United States

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