Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Amazon SageMaker
Artificial Intelligence
Backend Development
Java
Machine Learning (ML)
Spring Framework
Job Details
Role: Fullstack AI Engineer (Java/Spring Boot + AWS SageMaker)
Location: Plano or Reston - Hybrid and in person interview only
Skills: Java, Microservice Architecture, AWS, Python, Angular - Backend Heavy is fine
Coding in Java and Python required 50-50 day to day
Job Description:
- We are looking for a Fullstack AI Engineer with strong backend expertise to build scalable AI-driven applications.
- Primary focus will be on backend development using Java, Spring Boot, and microservices architecture.
- Hands-on experience with AWS SageMaker for model training, deployment, and inference is essential.
- Collaborate with Data Scientists and ML Engineers to integrate models into production systems.
- Develop and maintain RESTful APIs and backend services optimized for AI workflows.
- 20% of work involves front-end development using Angular for user-facing features.
- Implement CI/CD pipelines, logging, and monitoring for AI applications on AWS.
- Experience with containerization (Docker) and orchestration tools is a plus.
- Knowledge of AWS Bedrock or interest in generative AI platforms is a nice-to-have.
- Strong problem-solving, communication, and cross-functional collaboration skills are required.
- Experience with OCR Tools is required for this role (Tesseract, Adobe, Textract etc).
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