AI Product Engineer
New York, NY
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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