Drive projects in an AI-native way: proactively use AI tools to improve development, testing, troubleshooting, and documentation workflows, and help bring Agent and LLM capabilities into the product.
**Evaluation & Proof of Value** — Design and guide customer evaluation frameworks (evals) to measure AI performance for specific use cases. Create compelling demos, reference architectures, and lightweight POCs that demonstrate the art of the possible. Agree acceptance criteria for quality, latency, cost and reliability, linking evaluation results to customer business goals and a decision on production deployment
Proficiency in programming languages commonly used in AI (such as Python, C/C++, or Java) and relevant ML frameworks (for example, TensorFlow, PyTorch, or similar).
Bachelor's degree or above in Computer Science or related fields, with 3+ years of engineering experience in at least one of Python, TypeScript, Java, or C/C++.
Hands-on Technical Leadership: Stay technically involved and step in when needed to write code, debug issues, review architecture and resolve complex engineering problems.
Work directly with the CEO, who has built and run multiple award-winning companies across several industries over 17 years. One decision maker, no committee. Your job includes challenging the brief where the brief is wrong, and you will get a straight answer either way, quickly.