Jobs and Careers
AR
AI Product Engineer
ArootahNew York City, United Statesfull_timeVerifiedPosted 8 Nov 2024
About the role
WHO WE ARE: Arootah is a rising personal and professional development leader in the Investment and Financial Services industry. Our mission is to empower and elevate the performance of individuals and companies through Coaching and Business Advisory services while utilizing cutting edge SaaS technology. Our founder is Rich Bello, the Co-Founder of the industry-leading $10 billion hedge fund, Blue Ridge Capital. Rich is a Wharton graduate and held leadership positions at Morgan Stanley, Tiger Management, and Ernst & Young. Our offerings support businesses and individuals to raise their high standards—taking the next steps to maximize their potential. We coach and consult executives in the investment and financial services industries. We consult remote work leadership, including policies and procedures. We seed and develop new business hypotheses through our venture studio. We invest with a portfolio of public and private companies that positively impact individuals and society. We coach direct-to-consumer with life, executive, career, and health coaching through our virtual wellness center. If you're passionate about creating a better world, impacting personal and professional lives, and creating value for businesses, join us! Visit us at Arootah.com to learn more.
What We Need:The AI Product Engineer will lead the design, development, and optimization of language model-based agents to drive innovative solutions. This role focuses on engineering and deploying AI-powered agents that leverage large language models to support interactive, conversational, and decision-making capabilities. The position requires expertise in LLMs, natural language processing, prompt engineering, and a solid understanding of production-grade AI system development.
What We Need:The AI Product Engineer will lead the design, development, and optimization of language model-based agents to drive innovative solutions. This role focuses on engineering and deploying AI-powered agents that leverage large language models to support interactive, conversational, and decision-making capabilities. The position requires expertise in LLMs, natural language processing, prompt engineering, and a solid understanding of production-grade AI system development.
What You'll Do
- 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.
Qualifications
- 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.
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