Lead AI Engineer at Intuit

Type: Full-time
Level: not_specified

Description

The Intuit Foresight team is seeking a Lead AI Engineer responsible for designing and developing AI-native applications, particularly focusing on Fullstack LLM apps. This role involves rapid prototyping, experimentation, and iteration to create accurate and performant frameworks/models. The successful candidate will collaborate closely with AI scientists, product, and design teams, requiring a deep understanding of machine learning fundamentals, Python, and cloud integration.

Required Skills

Python
PyTorch
Numpy
Pandas
TensorFlow
supervised learning
unsupervised learning
reinforcement learning
classification
regression
clustering
neural networks
data structures
algorithms
computer architecture
AWS Sagemaker
LLMs
LangChain
CustomGPTs
Prompt Management

Additional Information

Required Previous Experiences: At least 1 year of experience working as a lead for a team with AI/ML engineers.
Preferred Qualifications: Well versed in building with Python, PyTorch, Numpy, Pandas, TensorFlow
Machine learning fundamentals for supervised, unsupervised & reinforcement learning (i.e. classification, regression, clustering, neural networks) and experience in building production grade models with precision/recall.
Understand and apply machine learning principles (training, weights, validation, testing, error, cost) optimizing for accuracy/feedback. Should establish and own metrics/optimization.
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Experience with integrating applications and platforms with cloud technologies (e.g: AWS Sagemaker)
Understanding of LLM, LangChain, CustomGPTs, Prompt Management, and ability to fine-tune base models to build efficient production-grade LLM apps.