Location
Bay Area / Portland, Oregon
Experience
~5 years
Type
Full-time
Function
AI / ML / Applied Research
We are looking for an Applied AI / Machine Learning Engineer with strong hands-on experience building AI solutions in a fast-moving startup environment.
The ideal candidate has practical experience with machine learning, LLMs, model fine-tuning, scripting, and full AI application development. The role requires someone who can move quickly from concept to prototype to production-quality implementation, while making effective use of modern AI development tools such as Claude Code, OpenAI Codex, or similar coding assistants.
Experience with agentic AI systems is a significant advantage.
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.
Required Qualifications
- About 5 years of experience in machine learning, AI engineering, applied AI, or related software development.
- Strong Python programming and scripting skills.
- Hands-on experience with machine learning or LLM-based systems.
- Experience fine-tuning, adapting, or evaluating AI models.
- 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.
Preferred Qualifications
- Experience with agentic AI systems, tool-calling, workflow orchestration, or multi-step AI applications.
- Experience with AI safety, alignment, guardrails, red teaming, or model monitoring.
- Familiarity with LangChain, LlamaIndex, Hugging Face, PyTorch, TensorFlow, OpenAI APIs, or Anthropic APIs.
- Experience with RAG systems, embeddings, vector databases, or enterprise AI deployment.
- Background in applied research, enterprise software, cybersecurity, or AI governance.
Why join CCai
At CCai, you will work on one of the most important challenges in AI: enabling safe, aligned, and reliable enterprise deployment of AI agents. You will have the opportunity to contribute directly to technology strategy, influence product direction, and help build market-leading solutions in a rapidly emerging field.
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