Staff Full-Stack AI Engineer

Job not on LinkedIn

September 18

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Logo of Pareto.AI

Pareto.AI

Artificial Intelligence • B2B

Pareto. AI is a human-centered partner for frontier AI research and development that orchestrates networks of domain specialists to produce context-rich, high-quality data, run experiments, and evaluate models. The company provides managed, on-demand expert teams (from PhDs and medical doctors to technical specialists) to help AI organizations scale expert-only capabilities, accelerate research, and deliver robust, high-fidelity datasets and evaluations.

51 - 200 employees

Founded 2020

🤖 Artificial Intelligence

🤝 B2B

đź“‹ Description

• Rapidly assess technical feasibility of AI product ideas and create one-page technical scoping documents to prevent scope creep and identify hidden risks • Define technology stacks, build reusable frameworks, and establish engineering guidelines to maintain quality and speed • Stay ahead of AI developments and mentor the team to distinguish promising tools from hype • Drive adoption of emerging practices like Context Engineering and develop team practices • Build prototypes with prioritization and stakeholder alignment and get early feedback • Lead the most complex system designs and coordinate technical decisions across the team • Ensure scalable solutions to meet ambitious growth targets • Build systems that increase execution muscle and lead evaluation practices that measure AI application effectiveness • Work within the AI Strategy team to accelerate company functions through innovation and automation

🎯 Requirements

• Bachelor's (in CS or Equivalent) + 8+ YOE with demonstrated leadership experience (Full-stack, Data scientist, ML, etc.) • Significant AI/ML experience and proven track record of staying on the bleeding edge • Pragmatic mindset: ability to simplify and make strategic sacrifices to meet deadlines • Adaptability to pivot quickly in a rapidly changing AI landscape • Strong analytical and critical thinking skills to assess risks and evaluate trade-offs • Agentic: proactive about proposing ideas, identifying risks, and unblocking self • Passionate about limit testing AI IDEs (Cursor, Windsurf, etc.) • Moderate comfort building ETL pipelines and data wrangling using pandas • Context Engineering: developed and battle-tested practices for dynamically supplying the precisely right context for the right problem/task • LLM Tools & Systems: experience building RAG systems and working with vector stores • Parallel programming: threading and multi-processing • English fluency: exceptional written and verbal communication skills • Nice to have: experience in annotation, data labeling, or similar business context; familiarity with vendor landscape and operational processes • Nice to have: experience building Multi-Agent systems with CrewAI or similar frameworks • Nice to have: problem solving using data structures and algorithms when forming AI/LLM solutions • Nice to have: product reasoning with a bias for Essentialism

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