AI Product Engineer
Description For AI Product Engineer
Arootah is a rising leader in personal and professional development for the Investment and Financial Services industry. Founded by Rich Bello, co-founder of the $10 billion hedge fund Blue Ridge Capital, Arootah's mission is to empower individuals and companies through Coaching and Business Advisory services using cutting-edge SaaS technology.
As an AI Product Engineer at Arootah, you'll lead the design, development, and optimization of language model-based agents to drive innovative solutions. Your focus will be on engineering and deploying AI-powered agents that leverage large language models for interactive, conversational, and decision-making capabilities.
Key responsibilities include:
- Developing and fine-tuning LLM-based agents
- Building scalable LLM agent architectures
- Collaborating with cross-functional teams
- Implementing model optimization techniques
- Integrating agents into production environments
- Staying updated on AI advancements
Qualifications:
- Bachelor's or Master's in Computer Science, AI, NLP, or related field
- Strong experience with LLMs and NLP frameworks
- Proficiency in Python and deep learning libraries
- Experience deploying language model agents
- Knowledge of MLOps and CI/CD pipelines
Join Arootah to be part of a high-energy startup in its early stages of expansion, with opportunities for equity, remote work, and access to their Digital Wellness Center. Help create a better world by impacting personal and professional lives while creating value for businesses.
Responsibilities For AI Product Engineer
- Develop and fine-tune large language model-based agents to enhance product functionality, user engagement, and operational efficiency
- Build, test, and deploy scalable LLM agent architectures optimized for real-time interactions and task-based workflows
- Collaborate with data scientists, software engineers, and product teams to design AI agents aligned with customer needs and product goals
- Research, experiment, and implement techniques for model optimization, including prompt engineering, reinforcement learning, and performance tuning
- Integrate agents into production environments with robust monitoring, maintenance, and feedback loops for continuous improvement
- Stay updated on advancements in generative AI and NLP to incorporate relevant innovations into product development
Requirements For AI Product Engineer
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, NLP, or a related field
- Strong experience with LLMs (e.g., GPT, BERT, T5), NLP frameworks (Transformers, spaCy, Hugging Face), and prompt engineering techniques
- Proficiency in Python and deep learning libraries such as TensorFlow or PyTorch is a plus
- Practical experience deploying and scaling language model agents, ideally in a production environment
- Knowledge of MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes)
- Strong problem-solving skills, with an ability to work cross-functionally and communicate effectively with technical and non-technical stakeholders
Benefits For AI Product Engineer
- Competitive benefits including health, vision, dental and 401k
- Equity Opportunities
- Autonomy in your work
- The ability to work remote
- Access to our Digital Wellness Center, including past webinars, seminar videos, and workbooks
