Distyl AI

AI Platform Engineer

San Francisco, California, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should have 3-10+ years of software engineering experience with proficiency in backend and systems engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems is required, along with hands-on experience with Kubernetes, CI/CD, and cloud platforms such as AWS, GCP, or Azure. A strong interest in AI-native development is also essential.

Responsibilities

As an AI Platform Engineer, you will design, build, and optimize Distillery, our AI-native platform for enterprise AI systems. You will develop scalable AI infrastructure, ensure system reliability, and collaborate with engineers and business leaders to address complex AI deployment challenges. Key tasks include building and scaling AI-native infrastructure, developing cloud-native microservices, optimizing system performance and reliability, and collaborating with cross-functional teams to translate operational needs into platform capabilities.

Skills

Python
FastAPI
SQLAlchemy
Alembic
AWS
GCP
Azure
Kubernetes
MLOps
DevOps
Distributed Computing
Scalable Service Orchestration

Distyl AI

Provides customized AI solutions for enterprises

About Distyl AI

Distyl.ai provides artificial intelligence solutions tailored for enterprises, focusing on enhancing productivity and streamlining operations. Their products utilize generative AI and large language models, which can be customized to fit a client's specific data, workflows, and systems. This customization allows for smooth integration with existing technologies. Distyl.ai serves a wide range of clients, including Fortune 500 companies in sectors like Consumer Packaged Goods, Retail, Healthcare, Finance, and Manufacturing, as well as federal agencies. The company’s experienced team, which includes professionals from major tech firms and top AI research institutions, enables them to create scalable solutions that meet high standards. Distyl.ai aims to unlock value for clients quickly, typically within a quarter, by providing tailored AI applications that address unique business needs.

Key Metrics

San Francisco, CaliforniaHeadquarters
2022Year Founded
$26.3MTotal Funding
SERIES_ACompany Stage
Government & Public Sector, Enterprise Software, AI & Machine LearningIndustries
11-50Employees

Benefits

Health Insurance
Company Equity
Hybrid Work Options
Professional Development Budget

Risks

Rapid AI advancements by competitors could outpace Distyl AI's integration capabilities.
Reliance on OpenAI partnerships poses risks if partnerships are disrupted.
Complex AI integration may lead to client dissatisfaction if not managed well.

Differentiation

Distyl AI customizes AI solutions to specific client data and workflows.
The company integrates generative AI to enhance human productivity in enterprises.
Distyl AI's team includes experts from Palantir, Apple, and Microsoft.

Upsides

Recent $20M funding boosts growth and demand from Fortune 100 customers.
Strategic partnership with OpenAI enhances AI capabilities for enterprise clients.
Growing interest in AI customization drives market confidence and investment.

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