AI Engineer

Central Business Solutions-posted 4 days ago

Full-time

Hillsboro, OR

Resume

Match Score

Upload and Match ResumeTrack Jobs with Teal

Role Summary Build intelligent capabilities using LLM-based inferencing, agentic AI workflows, and RAG-based solutions leveraging AWS-native AI/ML services. Focus on inference orchestration, vector search pipelines, and lightweight model training for predictive maintenance use cases.

LLM & Inference Engineering: Develop AI-driven features using LLMs, agentic patterns, RAG, and vector embeddings.
Orchestrate inference pipelines with Python and AWS AI services.
Build reusable components and prompt orchestration flows.
Predictive Analytics & Light Model Training: Support predictive maintenance using classical ML techniques.
Perform lightweight training with AWS SageMaker, AutoML, and deploy inference endpoints.
AWS Engineering: Utilize AWS services (Lambda, API Gateway, S3, DynamoDB, SageMaker, Bedrock) for scalable AI workflows.
Python Development: Write modular, testable Python code for inference orchestration and backend integrations.
Collaboration & Delivery: Work with product and engineering teams; document AI workflows; participate in design reviews.

Strong proficiency in Python.
Hands-on experience with LLM inferencing, RAG architectures, and vector embeddings.
Working knowledge of AWS AI/ML services (SageMaker, Bedrock, Lambda, etc.).
Familiarity with classical ML concepts (regression, classification, anomaly detection).
Experience integrating models into production pipelines.
Understanding of prompt engineering and evaluation.

Track Jobs with Teal

Job Search Resources

•

AI Resume Builder

•

AI Engineer Resume Examples

•

AI Engineer Cover Letter Examples

AI Engineer

Job Search Resources

Tools

Career Hubs

Guides

Company