Staff Full Stack AI Engineer

About us At Pareto.AI, we're on a mission to enable top talent around the world to participate in the development of cutting-edge AI models. In coming years, AI models will transform how we work and create thousands of new AI training jobs for skilled talent around the world. We've joined forces with top AI and crowd researchers at Anthropic, Character.AI, Imbue, Stanford, and University of Pennsylvania to build a fair and ethical platform for AI developers to collaborate with domain experts to train bespoke AI models. We're building an AI Strategy team which aims to accelerate various company functions, leveraging innovation & automation. We are the brakes on the race car of growth-induced manual operations. Together, we aim to bring that to a stop by ensuring the company can scale its revenue without linearly scaling the rest of its supporting functions. We succeed by building innovative, effective & dependable solutions that drive growth and keep the human head count in check. Responsibilities Feasibility > Rapidly assess technical feasibility of AI product ideas before development begins, creating one-page technical scoping documents that prevent scope creep & identify hidden risks upfront. Technology & Frameworks > Define technology stacks, build reusable frameworks, and establish engineering guidelines that let the team move faster while maintaining quality standards. Innovation Mentorship > Stay ahead of AI developments and mentor the team to distinguish promising tools from hype. Drive adoption of emerging practices like Context Engineering, as they evolve in the industry, developing the team's collective muscle for judging what's worth adopting vs what's still risky. Experimentation > Build prototypes with prioritization and stakeholder alignment & get early feedback on whether this will work. Leadership > Lead the most complex system designs, coordinate technical decisions across the team, ensuring scalable solutions for ambitious growth targets. Excellence > Build systems that increase our execution muscle and lead evaluation practices that measure AI application effectiveness. Qualifications Required Bachelor's (in CS or Equivalent) 8 YOE with demonstrated leadership experience (Full-stack, Data scientist, ML, etc.) AI Pioneer > Significant AI/ML and proven track record of staying on the bleeding edge. Pragmatic Mindset > Ability to simplify and make strategic sacrifices to meet deadlines and work within constraints (NOT perfectionist tendencies). Adaptability > Think on your feet and pivot quickly in a rapidly changing AI landscape. Critical Thinking > Strong analytical skills to assess risks, evaluate trade-offs, and make sound technical decisions. Agentic - Proactive about proposing ideas, identifying risks & unblocking self. Passionate about limit testing AI IDEs (Cursor, Windsurf, etc), full feature set, and potential. Moderate comfort building ETL pipelines and data wrangling using pandas. Context Engineering - Developed & battle-tested practices for dynamically supplying the precisely right context for the right problem/task. LLM Tools & Systems - Experience building RAG systems, working with vector stores. Parallel Programming - Threading, Multi-processing. English fluency - Exceptional written and verbal communication skills for technical documentation, stakeholder alignment, and team coordination Nice to Have Experience in annotation, data labeling, or similar business context, familiarity with vendor landscape and operational processes. Experience building Multi-Agent systems with CrewAI or similar frameworks. Problem Solving - Ability to employ data structures and algorithms when forming AI/LLM solutions. Product > Ability to reason about requirements with a bias for Essentialism.