RemoteJOB DESCRIPTION DeveloperSeeking a backend engineer with a strong foundation in GenAI. This engineer will work on a combination of data infrastructure and GenAI workflows to build tools supporting trend research and design ideation.The ideal candidate has a strong foundation in current GenAI techniques (Multi-modal RAG, Agentic Workflows), strong knowledge of the emerging GenAI ecosystem (experience working with several GenAI models), and has experience bringing GenAI-powered technologies to life in an enterprise environment.This candidate will work side-by-side with data scientists and backend engineers to build, tune, and instrument core infrastructural components of our GenAI ecosystem, specifically storage, hybrid indexing and search components to organize a multi-modal library of images and documents used daily by trend researchers within the company.About you:5+ years of relevant industry experience.o Ability to work in a highly collaborative Agile engineering environment is essential to success in this role.Fluency in Python and attendant ecosystem.Experience with PostgreSQL, Open/Elasticsearch, Object Storage (S3/etc.)o Nice-to-have: knowledge/experience with vector databasesExperience building systems and infrastructure to clean, tag, and indexing data for consumption by GenAI systems.Experience building applications in a containerized environment.Strong knowledge of emerging GenAI patterns, frameworks and use-cases.o LangGraph/LangChain/Google GenAI/etc.o Context Engineering / RAG / Agentic AIo Knowledge of existing commercial AI ecosystem (Gemini/ChatGPT/etc.)o Experience building programmatic workflows targeting GenAI APIs or toolchains.TECHNICAL SKILLSMust HaveOpen/ElasticsearchPostgreSQLPythonStrong knowledge of emerging GenAI patterns, frameworks and use-cases.Nice To Haveknowledge/experience with vector databasesNotes:Remote VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status
JOB DESCRIPTION
DeveloperSeeking a backend engineer with a strong foundation in GenAI. This engineer will work on a combination of data infrastructure and GenAI workflows to build tools supporting trend research and design ideation.The ideal candidate has a strong foundation in current GenAI techniques (Multi-modal RAG, Agentic Workflows), strong knowledge of the emerging GenAI ecosystem (experience working with several GenAI models), and has experience bringing GenAI-powered technologies to life in an enterprise environment.This candidate will work side-by-side with data scientists and backend engineers to build, tune, and instrument core infrastructural components of our GenAI ecosystem, specifically storage, hybrid indexing and search components to organize a multi-modal library of images and documents used daily by trend researchers within the company.About you:5+ years of relevant industry experience.o Ability to work in a highly collaborative Agile engineering environment is essential to success in this role.Fluency in Python and attendant ecosystem.Experience with PostgreSQL, Open/Elasticsearch, Object Storage (S3/etc.)o Nice-to-have: knowledge/experience with vector databasesExperience building systems and infrastructure to clean, tag, and indexing data for consumption by GenAI systems.Experience building applications in a containerized environment.Strong knowledge of emerging GenAI patterns, frameworks and use-cases.o LangGraph/LangChain/Google GenAI/etc.o Context Engineering / RAG / Agentic AIo Knowledge of existing commercial AI ecosystem (Gemini/ChatGPT/etc.)o Experience building programmatic workflows targeting GenAI APIs or toolchains.TECHNICAL SKILLSMust HaveOpen/ElasticsearchPostgreSQLPythonStrong knowledge of emerging GenAI patterns, frameworks and use-cases.Nice To Haveknowledge/experience with vector databasesNotes:
Remote
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