Hi
Hope you are doing great today! Hope you are Safe and healthy!!
This is Bindu from TSR Consulting Services. We have an opportunity with one of our client, please find the below job Description and let me know if you are interested for this role.
Role: Applied AI Engineer
Location: 111 Sylvan Ave Englewood Cliffs, NJ 07632 - 5 days on site
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
