Overview
Remote
On Site
Full Time
Skills
Backend Development
Customer Facing
Sprint
Regulatory Compliance
FOCUS
Java
Spring Framework
Node.js
RESTful
NoSQL
Database
API
SDK
Artificial Intelligence
LangChain
LlamaIndex
React.js
JavaScript
TypeScript
UI
Cloud Computing
DevOps
Amazon Web Services
Microsoft Azure
Docker
Kubernetes
Continuous Integration
Continuous Delivery
Git
Workflow
Microservices
Health Care
Data Integration
Agile
Computer Science
Communication
Collaboration
Partnership
Value Engineering
Effective Communication
Job Details
Mid Level Full Stack Java / NodeJS Engineer with AI/LLM Integration Exposure
6+ Month Contract (Likely Extension)
100% Remote (EST hours preferred)
SUMMARY
We are seeking a Mid-Level Full Stack Engineer with strong backend development experience using Java and NodeJS, along with practical exposure to AI/LLM integration. Experience may come from professional projects or personal hands-on work. The engineer will help build backend APIs, NodeJS services, and modern application features, while contributing to early AI-driven initiatives across internal and customer-facing systems.
Candidates should be comfortable calling LLM endpoints and working with basic retrieval workflows, embeddings, vector search, or Meta/Llama models at a practical level. Deep AI expertise is not required.
CORE RESPONSIBILITIES
Develop, enhance, and support Java/Spring Boot backend services and NodeJS APIs.
Contribute to AI-enabled features by integrating LLMs (Meta Llama preferred) using APIs, SDKs, or containerized models.
Support basic LLM workflows such as embedding generation, vector search, and simple RAG patterns.
Build and maintain REST APIs that interact with application services, databases, or AI components.
Assist with front-end work in ReactJS when needed.
Participate in solution discussions, sprint planning, and code reviews.
Write automated unit and integration tests.
Support CI/CD pipelines and follow development best practices.
Ensure code meets security and compliance standards.
Help troubleshoot and resolve production issues in partnership with the team.
REQUIRED TECHNICAL EXPERIENCE
Backend (Primary Focus)
3+ years of Java development using Spring Boot.
Experience building APIs and backend services using NodeJS.
Familiarity with REST API design, microservices, and integration patterns.
Experience working with relational or NoSQL databases.
AI / LLM Integration
Hands-on exposure (professional or personal) integrating LLMs into applications.
Familiarity with Meta Llama models, or similar.
Experience calling model inference endpoints via API or SDK.
Basic understanding of embeddings, vector search, or simple RAG workflows.
Exposure to AI/LLM libraries such as LangChain, LlamaIndex, or Hugging Face is helpful but not required.
Front-End (Secondary)
Experience with ReactJS, modern JavaScript, and TypeScript.
Ability to assist with UI development or troubleshooting as needed.
Cloud / DevOps
Experience with AWS or Azure services is helpful.
Exposure to Docker, Kubernetes, or containerized deployments is a plus.
Experience using CI/CD pipelines and Git-based workflows.
PREFERRED QUALIFICATIONS
Healthcare or payer domain experience.
Experience building or supporting enterprise-scale microservices.
Familiarity with FHIR or healthcare data integration.
Experience working in Agile delivery teams.
REQUIRED EDUCATION & EXPERIENCE
Bachelor's degree in Computer Science or related field, or equivalent experience.
3+ years of full-stack or backend engineering experience.
Strong communication and collaboration skills.
Celebrating more than 25 years of partnership with a diverse client base, we've crafted rewarding opportunities for our consultants, fostering high-performing teams that deliver impactful results.
Over the last few years thousands of consultants have found their calling with us in roles that have made a meaningful impact on their lives, enhanced their careers, challenged them, and propelled them toward achieving their goals. At the ConsultNet family of companies, we believe effective communication is crucial in aligning the right job with your unique skills and professional aspirations.
Our comprehensive service offerings cover a wide range of technology positions across key markets nationwide. Learn more at .
We proudly support an Equal Opportunity Employer policy and welcome applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status, or any other protected classification.
6+ Month Contract (Likely Extension)
100% Remote (EST hours preferred)
SUMMARY
We are seeking a Mid-Level Full Stack Engineer with strong backend development experience using Java and NodeJS, along with practical exposure to AI/LLM integration. Experience may come from professional projects or personal hands-on work. The engineer will help build backend APIs, NodeJS services, and modern application features, while contributing to early AI-driven initiatives across internal and customer-facing systems.
Candidates should be comfortable calling LLM endpoints and working with basic retrieval workflows, embeddings, vector search, or Meta/Llama models at a practical level. Deep AI expertise is not required.
CORE RESPONSIBILITIES
Develop, enhance, and support Java/Spring Boot backend services and NodeJS APIs.
Contribute to AI-enabled features by integrating LLMs (Meta Llama preferred) using APIs, SDKs, or containerized models.
Support basic LLM workflows such as embedding generation, vector search, and simple RAG patterns.
Build and maintain REST APIs that interact with application services, databases, or AI components.
Assist with front-end work in ReactJS when needed.
Participate in solution discussions, sprint planning, and code reviews.
Write automated unit and integration tests.
Support CI/CD pipelines and follow development best practices.
Ensure code meets security and compliance standards.
Help troubleshoot and resolve production issues in partnership with the team.
REQUIRED TECHNICAL EXPERIENCE
Backend (Primary Focus)
3+ years of Java development using Spring Boot.
Experience building APIs and backend services using NodeJS.
Familiarity with REST API design, microservices, and integration patterns.
Experience working with relational or NoSQL databases.
AI / LLM Integration
Hands-on exposure (professional or personal) integrating LLMs into applications.
Familiarity with Meta Llama models, or similar.
Experience calling model inference endpoints via API or SDK.
Basic understanding of embeddings, vector search, or simple RAG workflows.
Exposure to AI/LLM libraries such as LangChain, LlamaIndex, or Hugging Face is helpful but not required.
Front-End (Secondary)
Experience with ReactJS, modern JavaScript, and TypeScript.
Ability to assist with UI development or troubleshooting as needed.
Cloud / DevOps
Experience with AWS or Azure services is helpful.
Exposure to Docker, Kubernetes, or containerized deployments is a plus.
Experience using CI/CD pipelines and Git-based workflows.
PREFERRED QUALIFICATIONS
Healthcare or payer domain experience.
Experience building or supporting enterprise-scale microservices.
Familiarity with FHIR or healthcare data integration.
Experience working in Agile delivery teams.
REQUIRED EDUCATION & EXPERIENCE
Bachelor's degree in Computer Science or related field, or equivalent experience.
3+ years of full-stack or backend engineering experience.
Strong communication and collaboration skills.
Celebrating more than 25 years of partnership with a diverse client base, we've crafted rewarding opportunities for our consultants, fostering high-performing teams that deliver impactful results.
Over the last few years thousands of consultants have found their calling with us in roles that have made a meaningful impact on their lives, enhanced their careers, challenged them, and propelled them toward achieving their goals. At the ConsultNet family of companies, we believe effective communication is crucial in aligning the right job with your unique skills and professional aspirations.
Our comprehensive service offerings cover a wide range of technology positions across key markets nationwide. Learn more at .
We proudly support an Equal Opportunity Employer policy and welcome applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status, or any other protected classification.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.