AI Engineer

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

Position: AI Engineer

Location: Redmond, WA

Term: Full Time
We are seeking an experienced

AI Engineer

to design, develop, and deploy AI-driven solutions that enhance business processes and deliver innovative products. The ideal candidate will have strong expertise in machine learning, deep learning, and data engineering, along with proficiency in programming and cloud platforms.

Key Responsibilities

• Model Development: Design, train, and optimize machine learning and deep learning models for various applications.
• Data Processing: Collect, clean, and preprocess large datasets for training and inference.
• Deployment: Implement and deploy AI models into production environments using scalable architectures.
• Research
• Innovation: Stay updated with the latest AI trends and integrate cutting-edge techniques into solutions.
• Collaboration: Work closely with data scientists, software engineers, and product teams to deliver AI-powered features.
• Performance Monitoring: Continuously monitor and improve model accuracy, efficiency, and reliability.
• Develop : Microsoft related AI Tools

Qualifications

• Education: Bachelor’s or master’s in computer science, AI, Data Science, or related field.
• Technical Skills: Proficiency in Python, Agentic AI(autogen),MCP, OpenAI
• Strong understanding of machine learning algorithms, NLP, and computer vision.
• Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
• Knowledge of data engineering tools and frameworks.
• Experience in code debugging, API Design knowledge
• Soft Skills: Problem-solving, analytical thinking, and excellent communication.

Preferred Qualifications

• Experience with
• LLMs (Large Language Models),Agentic AI and generative AI.
• Familiarity with
• MLOps
• practices and CI/CD pipelines.
• Hands-on experience with
• API development
• and integration.
• Hands-on experience in
• Microsoft related AI Tools