Applied AI Engineer: Prototyping to Production

Confidential Core AI; Portland (OR); On-site; USD 120,000 - 190,000; Full time

Job summary

Confidential Core AI in the Bay Area/Portland, Oregon, seeks an Applied AI / Machine Learning Engineer with hands-on experience to build AI solutions in a fast-moving startup.

You will move quickly from concept to prototype to production-quality implementation, integrating LLMs, APIs, data pipelines, and AI application workflows using Claude Code, OpenAI Codex, or similar tools. Experience with agentic AI systems is a significant advantage.

Qualifications

• About 5 years of experience in machine learning, AI engineering, or related software development.
• Strong Python programming and scripting skills.
• Hands-on experience with machine learning or LLM-based systems.
• Ability to build full AI applications, prototypes, or production components.
• Familiarity with modern AI development tools and coding assistants.
• Strong problem-solving skills and ability to work independently in a startup environment.

Responsibilities

• Develop and optimize AI/ML algorithms and application components.
• Build scripts, tools, prototypes, and production-ready AI capabilities.
• Fine-tune, adapt, and evaluate models for specific use cases.
• Integrate LLMs, APIs, data pipelines, and AI application workflows.
• Use AI coding tools such as Claude Code, OpenAI Codex, or similar to accelerate development.
• Contribute to the design of agentic AI safety and alignment solutions.
• Evaluate emerging AI models, frameworks, and techniques.
• Help shape CCai's technical direction and product capabilities.

Skills

Python

ML engineering

LLMs

Scripting

AI application development

Tools

Claude Code

OpenAI Codex

LangChain

PyTorch

TensorFlow

Hugging Face

Job description

Confidential Core AI in the Bay Area/Portland, Oregon, seeks an Applied AI / Machine Learning Engineer with hands-on experience to build AI solutions in a fast-moving startup.

You will move quickly from concept to prototype to production-quality implementation, integrating LLMs, APIs, data pipelines, and AI application workflows using Claude Code, OpenAI Codex, or similar tools. Experience with agentic AI systems is a significant advantage.