GrowthX AI is looking for an AI Engineer (Applied AI Scientist) to focus on applied AI for production systems. You'll improve agents and multi-step workflows, define and set up evaluations, experiment with reinforcement learning, and apply cutting-edge technology to drive measurable product impact.
What You'll Do
- Design and implement scalable AI systems end-to-end: 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 evaluation 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.
What We're Looking For
- 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.
Nice to Have
- 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.
Technical Stack
- Python
Benefits & Compensation
- Fully Remote Work from anywhere.
- Work environment setup provided.
- Minimal meetings and async communication for deep focus.
- Ample Time Off with enablement for your country's holidays.
- Encouraged to take time needed to recharge.
- Professional Growth in an AI-forward culture.
- Access to training, workshops & mentorship programs.
- Support for external conferences & industry events.
- Collaborative culture with open communication & feedback-driven environment.
Work Mode
This is a global, fully remote role.
GrowthX AI fosters a culture of open communication and clear, concise feedback.
