GrowthX AI · 2 months ago
AI Engineer (Applied AI Scientist)
GrowthX AI is a company focused on redefining AI-powered growth for modern marketing teams. The AI Engineer role involves improving agents and multi-step workflows, conducting evaluations, and applying cutting-edge technology in production to enhance AI-driven workflows and model performance.
Artificial Intelligence (AI)Marketing
Responsibilities
Design and implement scalable AI systems E2E: requirements, modeling, integration, and deployment
Improve our multi-agent workflow systems: task decomposition, intent modeling and query rewriting, context summarization, LLM memory, retrieval and ranking
Build evals systems that measure agent performance both offline and online to measure quality and guide product decisions
Operate across the model lifecycle: data exploration, model development, evaluation, launch, monitoring, and iteration based on performance
Work closely with Engineering, Product, Design, and the human-expert loop to translate feedback into measurable quality improvements
Stay at the forefront of AI by exploring and evaluating emerging research and techniques, and translate those into the product roadmap
Qualification
Required
5+ years of experience shipping ML/AI systems in production for large-scale, user-facing or data-driven products
Deep expertise in traditional ML approaches, NLP/LLMs, recommender systems, search and/or ranking
Familiarity with LLM evaluation practices and agent patterns (multi-step reasoning, tool use)
Proficiency in Python and modern ML infrastructure (model serving frameworks, experiment tracking, observability/monitoring)
Comfortable working in high-velocity, cross-functional product teams and taking ownership from idea to deployment
Strong engineering skills to implement applied AI work in production systems
MS/PhD in a technical field or equivalent experience
Preferred
Experience with multi-agent or workflow-based AI systems
Hands-on work with retrieval-augmented generation, prompt strategies, or knowledge-centric systems
Experience with reinforcement learning methods
Prior experience in search systems or AI dev tooling space
Benefits
Fully Remote Work
Ample Time Off
Professional Growth
Collaborative Culture