Overview
On Site
75/hr - 95/hr
Full Time
Skills
Revenue Management
Leadership
Health Care
Software Engineering
Agile
Vector Databases
SQL
NoSQL
Amazon Web Services
Computer Science
Data Science
Artificial Intelligence
Generative Artificial Intelligence (AI)
Python
LangChain
Cloud Computing
Amazon Lambda
Amazon SageMaker
Microsoft Azure
Machine Learning (ML)
Data Engineering
Database
PostgreSQL
MySQL
Redis
Elasticsearch
Java
Microservices
API
Continuous Integration
Continuous Delivery
Software Development Methodology
Management
Job Details
Job Description Our client, a leading healthcare technology company that's transforming how medical practices operate across the U.S. through AI-driven solutions is looking for a Principal Engineer focused on AI and Data Engineering. The team is building advanced platforms that include electronic health records, revenue cycle management, and patient engagement tools, with a strong emphasis on integrating GenAI, LLMs, and scalable cloud-based infrastructure.
This is a unique opportunity to step into a high-impact leadership role within an organization that is applying cutting-edge AI to improve real-world healthcare outcomes. You'll work on retrieval-augmented generation, fine-tuning LLMs, and deploying AI-powered microservices in production. They're looking for someone who's passionate about building scalable AI systems, collaborating across teams, and leading large-scale data engineering projects
.Contract Duration: 3 month contract to hire
Hybrid 1 day a week onsite Required Skills & Experience
This is a unique opportunity to step into a high-impact leadership role within an organization that is applying cutting-edge AI to improve real-world healthcare outcomes. You'll work on retrieval-augmented generation, fine-tuning LLMs, and deploying AI-powered microservices in production. They're looking for someone who's passionate about building scalable AI systems, collaborating across teams, and leading large-scale data engineering projects
.Contract Duration: 3 month contract to hire
Hybrid 1 day a week onsite Required Skills & Experience
- 12+ years of experience in software engineering, AI/ML development (senior level engineer/architect)
- Hands-on Agile development, SDLC, CI/CD pipelines and AI model deployments experience
- Full stack AI developer experience (Python, OpenAI, APIs, LLMS, cloud (AWS-Lambda)
- GPT deployment
- Database (Postgres, Vector databases)
- RAGs
- SQL (PostgreSQL), MySQL Sever)
- NoSQL (Redis, Elasticsearch, OpenSearch)
- AWS
- Azure
- BS in Computer Science, Engineering, or Data Science
- 35% AI/ML Development & GenAI Frameworks (Python, OpenAI APIs, LangChain, Hugging Face, LLMs, RAGs)
- 25% Cloud & Infrastructure (AWS Lambda, SageMaker, ECS, Azure OpenAI, ML Studio)
- 20% Data Engineering & Databases (PostgreSQL, MySQL, Redis, Elasticsearch, FAISS, Pinecone, ChromaDB)
- 20% Full-Stack Engineering & API/Microservices (Java, Microservices, API integration, CI/CD, SDLC)
- 70% Hands On
- 10% Management Duties
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.