Artificial Intelligence Engineer Position Available In Bergen, New Jersey

Artificial Intelligence Engineer at HSAD North America
Artificial Intelligence Engineer at HSAD North America in Englewood Cliffs, New Jersey
Posted in Other 5 days ago.

Type:

full-time

Job Description:

Applied AI Engineer
Position Overview
We are seeking an experienced Applied AI Engineer with Software Engineering background to join our AI initiative team, focusing on the assessment, development, and implementation of cutting-edge AI solutions. This role will be instrumental in evaluating various AI tools and technologies, making strategic build vs. buy decisions, and developing robust AI-powered applications using modern development practices.
Key Responsibilities
Design, develop, and deploy AI-powered applications using Java and Python
Implement and optimize Retrieval-Augmented Generation (RAG) systems
Assess and evaluate AI tools, frameworks, and platforms for organizational needs
Make strategic rmendations on build vs. buy decisions for AI solutions
Collaborate with cross-functional teams to integrate AI capabilities into existing systems
Develop and maintain scalable AI services using cloud-native architectures
Research and prototype emerging AI technologies and frameworks
Ensure best practices in AI development, testing, and deployment
Required Technical Skills
Programming Languages & Frameworks
Java and/or

Python:

5+ years of experience in at least one language

Java:

Spring Framework (Spring Boot, Spring Security, Spring Data)

Python:

FastAPI or Flask frameworks
Strong understanding of object-oriented programming and design patterns
AI/ML Frameworks & Tools (Required)

RAG Implementation:

MUST HAVE

– Hands-on experience building and optimizing RAG pipelines
At least one of the following:

LangChain:

Experience building AI applications and chains

LangGraph:

Knowledge of graph-based AI workflows

LlamaIndex:

Experience with data indexing and retrieval systems
Development Tools (Required – at least one)

Cursor OR Windsurf:

Proficiency with AI-powered development environments
AWS Cloud Platform (Required)

AWS Bedrock:

Experience with managed foundation models and AI services

LLM Fine-tuning:

Hands-on experience fine-tuning large language models

AI Guardrails:

Implementation of AI safety and content filtering mechanisms

Prompt Engineering:

Advanced prompt design and optimization techniques
Additional AWS services: EC2, S3, Lambda, EKS, RDS, SQS, SageMaker
Experience Requirements
Minimum 5-7 years of software development experience
Emerce domain experience strongly preferred
Proven track record of delivering scalable, production-ready applications
Experience with agile development methodologies
History of working on AI/ML projects in production environments
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Experience with containerization (Docker, Kubernetes)
Understanding of microservices architecture
CI/CD pipeline development and maintenance
Knowledge of vector databases and embedding technologies
Experience with API design and development (REST, GraphQL)
Understanding of data engineering concepts and ETL processes
Experience with monitoring and observability tools
What You’ll Work On
Evaluate and prototype AI solutions across various business domains
Build proof-of-concepts to demonstrate AI capabilities and ROI
Develop production-ready AI services and applications
Create technical documentation and best practices for AI development
Mentor junior developers and contribute to technical decision-making
Stay current with emerging AI technologies and industry trends