Lamini

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor's degree in Computer Science or related field

Experience Requirements:

• 3+ years of experience with deep learning models in production

• 2+ years of experience in a customer-facing role

Other Requirements:

• Designed novel and innovative solutions for technical platforms in a developing business area

• Strong technical aptitude to partner with engineers and proficiency in software engineering

• Ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders

Responsibilities:

• Act as the primary technical advisor for prospective customers evaluating LLM and finetuning projects on Lamini platform

• Partner closely with account executives to understand customer requirements

• Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure

• Support customer onboarding by working cross-functionally to ensure successful ramp and adoption

• Travel occasionally to customer sites for workshops, implementation support, and building relationships

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor’s degree in Computer Science, IT, Electrical Engineering, or a related field, or equivalent hands-on experience

Experience Requirements:

• 2+ years of experience in a data center environment

Responsibilities:

• Oversee day-to-day operations of our GPU cluster

• Assist with the deployment, configuration, and calibration of GPU servers

• Implement and support hardware upgrades

• Continuously monitor system performance

• Quickly diagnose and resolve hardware and network issues, coordinating with team members to minimize disruptions

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor’s degree in Computer Science, or a related field

Responsibilities:

• Design and implement robust software deployment processes for delivering high-quality platforms to enterprise customers

• Maintain and enhance internal ML infrastructure

• Diagnose and resolve issues related to deploying Lamini Platform in customer on-prem environments

• Collaborate with data center vendors to manage GPU servers

• Partner with cross-functional teams to ensure reliability and scalability are embedded in the design of new features and services