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 are seeking a Senior/Staff level full-stack engineer to work on building features to enable enterprise customers to use open source LLMs to solve their unique business problems.
A successful candidate should have deep knowledge of scalable AI applications and products.
This role turns prototypes built by ML engineers into reliable production features that utilize the low-level inference & tuning infrastructure. This role collects user feedback and continuously refines these production features.
This role also collaborates with distributed system software engineers to design and evolve low-level inference & tuning infrastructure.
The successful candidate will be responsible for designing and implementing usable, elegant, and robust APIs and interfaces, on top of complex AI infrastructure.
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.
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