Principal Engineer - AI and Intelligence Systems

At WISEcode, we're a well-funded, dynamic startup. WISEcode makes personalized nutrition a reality based on the facts – what truly is in our food — and marries this data with your preferences. Powered by AI and the world’s best food and nutrition database, WISEcode embraces the fact that we are all different, have different dietary needs, objectives, and preferences, and should not be at the mercy of market spin or “expert” opinion. Every one of us should have the information we need to make the best decisions for ourselves.The OpportunityWISEcode doesn’t hire for incremental impact — we hire for force multipliers. Our Staff Engineers are restless builders who transform complexity into clarity, elevate every team they touch, and create architecture that accelerates the entire company. These are strategic technologists who see systems where others see fragments, who bring long-term thinking into every decision, and who translate bold ideas into elegant, scalable solutions that endure beyond their original use cases.About the RoleThe Staff Engineer (PE) is WISEcode’s highest-impact individual-contributor role — a technical leader who combines deep hands-on engineering with clear architectural ownership and accountability across major parts of the platform. PEs write excellent code, but also define system boundaries, long-term technical direction, and engineering standards that influence the entire organization over time.While this Staff Engineer role operates at a platform and systems level, this position is anchored in WISEcode’s AI, intelligence, and reasoning layers and requires deep, opinionated expertise in designing systems that combine probabilistic intelligence with deterministic software foundations.A WISEcode PE is both strategist and builder. You will:Translate product ideas, domain concepts, and company vision into intelligent systems that reason over food, ingredients, nutrition, and user preferences.Design and implement AI-powered features end-to-end, including model selection, orchestration, inference pipelines, confidence handling, and integration with product workflows.Guide teams through decisions on model tradeoffs, data quality, evaluation strategies, observability, explainability, and long-term system evolution.Influence without authority — shaping engineering culture, mentoring senior engineers, and raising the organizational bar for how intelligence is built and trusted.PEs at WISEcode operate as a flexible, high-impact bench. You may embed temporarily into a product, data, or platform team to accelerate an AI-heavy initiative, resolve architectural ambiguity, or establish a new intelligence capability. You’ll then step out, leaving behind reusable patterns, clear interfaces, and higher organizational confidence in intelligent systems.Because of their breadth, PEs typically work closely with the CTO and maintain visibility across products, data systems, and infrastructure. Your success is measured not by individual model performance alone, but by the reliability, interpretability, and usefulness of intelligence across the entire WISEcode ecosystem.How Staff Engineers Operate at WISEcodeSystems thinkers with depth. PEs bring T-shaped skills: deep expertise in AI systems, model integration, and intelligent workflows, combined with broad understanding across data modeling, software architecture, product experience, and infrastructure.Architects who execute. You can design an inference pipeline, integrate LLMs or ML models into production systems, implement evaluation and monitoring loops, and understand how these components must evolve over time as data, models, and use cases change.Product-savvy technologists. PEs help shape product direction, not just implement requirements. You anticipate how intelligent behavior affects user trust, explainability, personalization, and long-term product differentiation, and help frame product decisions through technical clarity.Pragmatic long-term thinkers. You balance speed of experimentation with architectural integrity. You know when probabilistic systems are appropriate and when deterministic computation is required.Multipliers. You leave teams stronger: clearer intelligence patterns, better evaluation practices, safer AI usage, and faster future delivery that does not depend on your constant involvement.AI Skills and LeadershipWISEcode is an AI-native company. Every engineer is expected to use AI well, but PEs set the standard. You will: Design AI systems that combine LLMs, traditional ML, rules, and deterministic logic into coherent, testable workflows Establish practices for evaluation, monitoring, and iteration that make intelligent systems reliable and trustworthy over time. Understand how data quality, prompt design, retrieval strategies, and system architecture affect model behavior Advocate for responsible, transparent, and explainable AI that aligns with WISEcode’s mission of consumer trust and empowerment. AI is not a bolt-on at WISEcode —