AI Product Engineer
New York, NY
Applications have closed
Arootah
Premier Alternative Investments advisory and executive coaching firm that empowers finance executives, and their teams to unlock peak performance in all areas.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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture BERT CI/CD Computer Science Deep Learning Docker Engineering Finance Generative AI GPT Kubernetes LLMs MLOps NLP Pipelines Prompt engineering Python PyTorch Reinforcement Learning Research spaCy TensorFlow Transformers
Perks/benefits: Career development Health care Startup environment Wellness
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