Пряме повідомлення учасника, який розмістив вакансію, з Accellabs
Liudmyla Pihuliak
Liudmyla Pihuliak
Recruiter at Accellabs
Пряме повідомлення учасника, який розмістив вакансію, з Accellabs
Liudmyla Pihuliak
Liudmyla Pihuliak
Recruiter at Accellabs
We are looking for a Full Stack Software Engineer to join our innovative team focused on developing AI-driven solutions tailored for commercial success.You will work on AI-driven solutions for digital marketing automation and grant discovery, designed to empower organizations to optimize their online presence and funding opportunities through cutting-edge technologies.What You’ll DoBe part of a fast-growing engineering team that builds a cutting-edge platform that makes a real impact in the world.Will have a major role in building our amazing LLM-based system.Work closely with other functions in the company like product, customer success, and more.Build a 100% cloud-native containerized distributed system for 99.999% availability.Make a real impact.What are we looking for?5+ years of experience working with Node.js (Nest.JS) or/and Python (FastAPI)Experience working with modern FE technologies like React.js, Next.jsPassionate about building API first system with the latest technologiesGood knowledge of Google Cloud or AWSExperience with Postgres SQLFamiliarity with GQLExperience with proper CI/CD pipelines and release processesKnowledge of the container world and distributed data centers (k8s)At least an upper-intermediate level of EnglishWill be a plus:Experience working in a startup environmentExperience working with LLM or a system based on MLExperience with GenAI integrationWhat do we offer (besides motivating financial conditions)?Amazing opportunities for professional growth within a top-notch team of professionalsAbility to influence the product roadmapAbility to make an impact on users worldwideFull remoteFlexible working hoursNo overtime — healthy work-life balanceHow many stages of the interview?Intro call with our Talent Team PartnerCustomer InterviewTechnical assessmentOffer and project discussion (15 min)
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