Senior Generative AI Engineer – Scale, Optimize & Deliver

Intuit; Carmel (IN); On-site; USD 140,000 - 190,000; Full time

Job summary

Intuit's Generative AI group is building the next generation of AI-powered products and experiences. You will work with data scientists and engineers to deploy GenAI models at scale and deliver elegant, customer-focused solutions.

You will design systems, collaborate with product managers, and explore state-of-the-art technologies to improve inference, training, and end-to-end pipelines for impactful customer outcomes.

Qualifications

• Experience with LangChain, vLLM, HuggingFace toolkit and GenAI architectures.
• Proficient in Spark and Python for ML workloads.
• Experience with AWS, Docker, Kubernetes, Kubeflow/MLflow.
• Strong understanding of ML model training, evaluation, and deployment.
• Experience with data processing, SQL/NoSQL and streaming systems.
• Familiarity with production-grade software engineering and version control.

Responsibilities

• Design and build systems to improve GenAI inference, quantization, optimization, finetuning, and evaluation.
• Collaborate with product managers, data scientists, and engineers to implement GenAI models.
• Communicate results clearly to peers and leaders.
• Explore state-of-the-art technologies to deliver customer benefits.
• Interact with diverse data sources to refine features and build end-to-end pipelines.

Skills

LangChain

vLLM

HuggingFace

Spark

Python

Docker

Kubernetes

Kubeflow/MLflow

Generative AI architectures

ML techniques

Relational DBs

NoSQL

Stream processing

Distributed systems

Git/GitHub

Data structures

Algorithms

Math fundamentals

Education

CS degree or equivalent

Tools

Jira

GitHub

Job description

Intuit's Generative AI group is building the next generation of AI-powered products and experiences. You will work with data scientists and engineers to deploy GenAI models at scale and deliver elegant, customer-focused solutions.

You will design systems, collaborate with product managers, and explore state-of-the-art technologies to improve inference, training, and end-to-end pipelines for impactful customer outcomes.