Founding AI Engineer

Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles. Sign up now at https://app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you. ____________________________________________________________ What you will do * Build production-grade LLM and agentic workflows for business decision-making. * Turn customer, market, and operational data into reasoning contexts that models can use reliably. * Design evaluation, tracing, replay, and quality-control systems for nondeterministic AI outputs. * Work on counterfactual analysis, forecasting, customer behaviour modelling, and decision support. * Improve reliability through structured outputs, retrieval, constraints, calibration, tests, and model comparisons. * Build internal tools that make AI workflows repeatable across customers and use cases. * Help define how we measure whether a prediction was useful, accurate, and trustworthy. * Work directly with the founders on product direction, customer problems, and technical architecture. What we are looking for You may be a strong fit if you have: * 5+ years of engineering experience. * Strong Python skills and comfort building production systems. * A solid ML, data science, or applied AI background. * Recent hands-on experience with LLMs, agents, RAG, tool use, or AI workflow systems. * Experience designing evaluations, tests, metrics, or quality gates for AI/ML systems. * Good judgment around hallucination, uncertainty, model failure modes, and measurement. * Comfort working with messy data, SQL, APIs, and data pipelines. * The ability to debug both code and reasoning. * Strong product instincts: you care whether the output actually helps a user make a decision. * High agency in ambiguous environments. * Clear communication and intellectual honesty. Especially relevant experience We would be particularly interested if you have worked on any of the following: * LLM applications or agentic systems in production. * Evaluation systems for LLMs or ML models. * Applied ML systems for forecasting, experimentation, analytics, recommendations, or decision intelligence. * RAG, embeddings, vector search, structured extraction, or model orchestration. * Statistical analysis, A/B testing, causal inference, or calibration. * Data products where traceability, auditability, or reliability mattered. * Early-stage startups where you had to own both technical direction and implementation. ____________________________________________________________ *Disclaimer: Calyptus uses an automated assessment tool that scores applicants.* Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles. Sign up now at https://app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you.