AI Engineer: Scalable ML/LLM Solutions in Production

SFE; Redmond (WA); On-site; USD 120,000 - 150,000; Full time

Job summary

SFE in Redmond, WA is seeking an AI Engineer to design, develop, and deploy AI-driven solutions that streamline business processes and power new products. You will work on model development, data processing, and production deployment using scalable architectures.

The ideal candidate has strong Python skills, experience with NLP and computer vision, and familiarity with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).

Qualifications

• Bachelor’s or master’s degree in CS, AI, Data Science or related field.
• Strong Python, ML/DL knowledge, NLP and CV fundamentals.
• Experience with cloud platforms (Azure/AWS/GCP) and containers (Docker/Kubernetes).
• Familiar with data engineering workflows and API design.

Responsibilities

• Model development: design, train, and optimize ML/DL models for applications.
• Data processing: clean, preprocess, and manage large datasets.
• Deployment: productionizing AI models with scalable architectures.
• Research: stay updated with AI trends and novel techniques.
• Collaboration: work with data scientists, engineers, and product teams.
• Performance monitoring: track accuracy, efficiency, and reliability.
• Develop: Microsoft related AI Tools.

Skills

Python

Agentic AI

MCP

OpenAI

NLP

Computer Vision

Code Debugging

API Design

Problem-Solving

Analytical Thinking

Communication

Education

Bachelor’s or Master’s in CS/AI/Data Science or related field

Tools

Docker

Kubernetes

Azure

AWS

GCP

Data Engineering Tools

Job description

SFE in Redmond, WA is seeking an AI Engineer to design, develop, and deploy AI-driven solutions that streamline business processes and power new products. You will work on model development, data processing, and production deployment using scalable architectures.

The ideal candidate has strong Python skills, experience with NLP and computer vision, and familiarity with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).