Machine Learning / AI Algorithm Engineer

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 Confidential Core AI's (CCAI) 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. Show more Show less