Gen AI Product Engineer

Menlo Park

Lamini

Lamini is the enterprise LLM platform for existing software teams to quickly develop and control their own LLMs. Lamini has built-in best practices for specializing LLMs on billions of proprietary documents to improve performance, reduce...

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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 AI Product Engineer. This role is ideal for an experienced full-stack engineer, with deep knowledge of scalable AI applications and products. The successful candidate will be responsible for designing and implementing usable, elegant, and robust APIs and interfaces, on top of complex AI infrastructure.

Responsibilities:

  • Have experience building applications/products that leverage LLMs
  • Work directly with the CEO, ML and AI infra teams to develop key products and features
  • Lead product engineering development, from idea inception to production deployment
  • Have developed or created intuitive engaging interfaces, with bonus points for ones that are fun and AI-related
  • Prototype effectively at the Pareto frontier of feasibility and usability, which is necessary for AI products
  • Have affinity for directly engaging with users/customers to get direct customer feedback
  • Collaborate cross-functionally
  • Bonus points for enjoying teaching, or thinking about engaging and intuitive instruction

Qualifications:

  • 5+ years of experience in software development, with a strong focus on full-stack engineering.
  • Proficiency in modern front-end frameworks (e.g., React, Angular, or Vue.js).
  • Expertise in back-end frameworks and languages (e.g., Node.js, Python, or Java).
  • Strong knowledge of API design principles, including RESTful
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
  • Understanding of AI/ML concepts and the ability to work closely with machine learning engineers.
  • Excellent communication and collaboration skills.
  • Strong sense of ownership and accountability.

Preferred Qualifications:

  • Experience with CI/CD pipelines and DevOps practices.
  • Familiarity with database technologies (SQL and NoSQL).
  • Exposure to AI frameworks and libraries (TensorFlow, PyTorch, or similar).
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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Angular APIs AWS Azure CI/CD DevOps Docker Engineering GCP Generative AI Java Kubernetes LLMs Machine Learning ML infrastructure Node.js NoSQL Pipelines Python PyTorch React Security SQL Teaching TensorFlow Testing Vue

Perks/benefits: Career development

Region: North America
Country: United States

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