AI Engineer
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Job Location:
Hillsboro, IL - USA
Monthly Salary:
Not Disclosed
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
Key Responsibilities
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.
Must-Have Skills
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.
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.
Key Responsibilities
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.
Must-Have Skills
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.
Central Business Solutions Inc(A Certified Minority Owned Organization)
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37600 Central Court Suite 214 Newark CA 94560
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Required Experience:
IC
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
