Staff Full-Stack AI Engineer

Edify

full-time

Posted on: 9/18/2025

Origin: • 🌎 Anywhere in the World

✨ AI Apply

Lead

ETLPandas

About the role

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

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