Lamini
Gen AI Product Engineer
Similar Jobs
Digital Media • Information Technology • News + Entertainment
Sell Comcast Internet, Data, Video and Voice solutions to small and mid-size businesses. Develop territory, generate leads via prospecting and presentations, promote bundled and advanced communications (PRI, Hosted PBX, multi-location), maintain pipeline and sales records, collaborate with technical and support teams, and meet or exceed sales and customer satisfaction targets.
Top Skills:
Comcast InternetComcast VideoComcast VoiceHosted PbxPri
Digital Media • Information Technology • News + Entertainment
Manage marketing and sales operations for small advertisers in retail trading areas. Hire, train, and evaluate staff; develop regional promotional partnerships and client-facing proposals; produce regular marketing reports; support sales pitches and strategic roll-outs; work variable hours including nights and weekends.
Digital Media • Information Technology • News + Entertainment
Sell integrated networking, security, and communications solutions (SD-WAN, UCaaS, network security) to enterprise multi-site accounts. Prospect, develop territory relationships, deliver in-person presentations, meet revenue and quota targets, collaborate with internal teams, and manage complex sales cycles while supporting customers and partners.
Top Skills:
EthernetNetwork SecuritySd-WanUcaasWireless
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.
Responsibilities:
- Design and implement features for enterprise customers, examples include Lamini.AI Classifier and Lamini.AI Inference Playground.
- Lead product feature engineering development, leveraging Lamini.AI’s internal inference and tuning infrastructure software, and working with marketing & sales, take idea inception to production deployment.
- Design and implement intuitive and engaging LLM & GenAI interfaces, with strong emphasis on intuitive experience for customers with no prior-experience in LLM & GenAI.
- Work with Sales Engineer, Product Designer to refine the experience of existing features, and come up with new feature ideas to solve customer problems.
Qualifications:
- 4+ years of experience in application development and relevant software engineering disciplines.
- Proficient in Python or Node.JS
- Proficient in building application backend with RESTful APIs
- Familiar with React
- Familiar with LLM concepts or AI/ML concepts in general
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Have experience building applications/products that leverage LLMs
- Familiar with popular LLM frameworks, e.g. Langchain, Llama index, DSPy
- Have developed or created intuitive, engaging interfaces, with bonus points for ones that are fun and AI-related
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 Menlo Park, California, USA Office
Santa Cruz Ave, Menlo Park, California , United States, 94025
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
