Full-Time

Senior Production Engineer

Posted on 4/30/2024

Lamini AI

11-50 employees

Custom private language model development platform

AI & Machine Learning

Senior

Menlo Park, CA, USA

Required Skills

Kubernetes

Docker

Terraform

Development Operations (DevOps)

Requirements

4+ years of Production / Site Reliability / DevOps Engineering
Experience deploying systems in data centers or major cloud providers
Experience with Docker, Terraform, Kubernetes, and Helm
Experience writing high-quality and well-tested code
Experience with cloud infrastructure and infrastructure-as-code solutions
Bachelor's in Computer Science or a related field

Responsibilities

Designing, building, scaling, securing, and maintaining production services
Writing or improving code frameworks (e.g. monitoring, logging, database access, authentication)
Building and optimizing core infrastructure to support new features and functionality
Joining the on-call rotation and debugging complex problems
Reading and writing code
Making product decisions and owning your work

Lamini enables every enterprise to safely, quickly, and cost-effectively build their own Expert AI. Our customers own their own models, trained on their data. Lamini optimizes for Expert AI workloads with minimal hallucination, enterprise-grade security, and enterprise flexibility, running on any infrastructure. Our team is made up of highly committed engineers, researchers, and tech industry veterans excited by mission and technology. We’re backed by leading VCs as well as computing and technology companies.

We can deploy our infrastructure into multiple hardware environments and are looking for production engineers to build out our enterprise-grade platform.

This would be your dream job if you enjoy:

- Designing, building, scaling, securing and maintaining production services.

- Writing or improving code frameworks (e.g. monitoring, logging, database access, authentication).

- Building and optimizing core infrastructure to support new features and functionality.

- Working with next generation compute that most teams need approvals to buy.

- Joining the on call rotation and debugging the hardest problems.

- Reading and writing code. You will be onboarded and writing code in the first week.

- The autonomy to make product decisions and ownership over your work.

About you:

- 4+ years of Production / Site Reliability / DevOps Engineering

- You have deployed systems in data centers off the major cloud providers, or have deployed systems within the major cloud providers.

- You have worked with Docker, Terraform, Kubernetes, and Helm, and understand what it takes to make a system infrastructure agnostic.

- Experienced writing high quality and well tested code

- Experienced with cloud infrastructure and infrastructure-as-code solutions Bachelor’s in Computer Science or a related field

At Lamini AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Lamini AI believes that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.

Lamini AI

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Lamini's LLM platform allows developers to create customized, private language models using technologies such as fine-tuning, RLHF, retrieval-augmented training, data augmentation, and GPU optimization, providing data privacy, ownership, flexibility, and cost control. The platform leverages the latest generation of models, including those from HuggingFace and OpenAI, to specialize language models based on specific use cases and data constraints.

Company Stage

N/A

Total Funding

N/A

Headquarters

Palo Alto, California

Founded

2022

Growth & Insights

Headcount

6 month growth

↑ 8%

1 year growth

↑ 116%

2 year growth

↑ 116%