Pareto
Full Stack AI Engineer
Job Summary
This role involves working on developing and experimenting with AI technologies, including creating prototypes and MVPs within rapid development cycles. Candidates should have experience with system design, prompt engineering, LLM tools, RAG systems, and data pipelines, with some knowledge of React.js and Django being advantageous. The position emphasizes innovation, problem-solving, and building scalable AI workflows within a startup environment. The company offers a competitive salary, equity, and benefits in a growth-focused, remote-friendly setting.
Required Skills
Benefits
Job Description
About us
AtPareto.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.
About this role
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.
What you’ll do
Exploration > Rapidly learn about relevant new technologies to assess maturity.
Tinkering > Create POCs testing feasibility of ideas’ key assumptions & validatingnew AI technologies.
Experimentation > Build prototypes in 1-2 day cycles to verify alignment with requirements & get early feedback on whether this will work.
Build Minimally > Build & Iterate on MVPs in 1-2 week cycles achieving user adoption within 1-3 cycles.
Adopt & Maintain a SOTA development workflow.
Document lessons learned to inform engineering teams of stable/robust workflow improvements and flag false hype.
Qualifications
Bachelors (in CS or Equivalent) + 3-5YOE (Fullstack Software engineer, Data scientist, Machine learning engineer.. etc)
Proactive about proposing ideas, identifying risks & unblocking self.
Passionate about limit testing AI IDE's’ (Cursor, Windsurf… etc) full feature set and potential.
Moderate comfort building ETL pipelines and data wrangling using pandas.
System Design - Ability to moderately reason about required system components, design DB schemas & tailor the design complexity to non-functional requirements/constraints/priorities/timeline.
Prompt Engineering - Mature Intuition to working with LLM APIs, their tools & limitations for both.
LLM Tools & Systems - Experience building RAG systems, Working with vector stores.
Nice to Have
React.js / Django Experience.
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.
Parallel Programming - Threading, Multi-processing
Experience building Multi-Agent systems with CrewAI or similar is a plus.
Perks
Venture-backed early-stage startup with competitive salary, equity, and benefits
International team with a flat structure and high ownership
A growth-focused environment with challenging projects
Home office stipend included
Pareto
Pareto matches AI companies with expert-vetted data labelers to fine-tune cutting-edge AI/LLM models. Meet the top 0.01% of AI labelers today.
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