
11 - 50 employees
đź’Ľ Consulting
🏥 Healthcare
⚖️ Legal
đź’° $28.5M Seed Round on 2023-05
Consulting • Healthcare • Legal
Vectara is an AI Agent and Assistant platform for enterprises, focusing on building and deploying Generative AI (GenAI) in mission-critical applications. The platform emphasizes best-in-industry accuracy to minimize hallucinations and offers robust security and privacy measures, including SOC-2 Type 2 compliance. Vectara provides tools for developers and business users to create AI Assistants and Agents that can perform tasks such as analyzing unstructured data, solving deployment issues, generating legal contracts, and more. The platform supports multi-language data handling and offers API-first integration, stateful chat management, and auto-scaling features. It caters to industries such as telecommunications, education, healthcare, financial services, legal services, and manufacturing, and is designed to deliver fast, accurate, and secure AI-powered solutions.
🔥 3 hours ago
🇺🇸 United States – Remote
⏰ Full Time
đźź Senior
🧑‍💻 Full-stack Engineer
đź‘» Ghost score 12%
Airflow
AWS
Azure
Distributed Systems
Docker
Google Cloud Platform
Grafana
Java
Kafka
Kubernetes
Prometheus
Python
Spark
Terraform
Where this job comes from
Posted on Vectara's careers page, not through a job board
First seen by Remote Rocketship 3 hours ago
Still open on Vectara's site. Checked 36 minutes ago.

11 - 50 employees
đź’Ľ Consulting
🏥 Healthcare
⚖️ Legal
đź’° $28.5M Seed Round on 2023-05
Consulting • Healthcare • Legal
Vectara is an AI Agent and Assistant platform for enterprises, focusing on building and deploying Generative AI (GenAI) in mission-critical applications. The platform emphasizes best-in-industry accuracy to minimize hallucinations and offers robust security and privacy measures, including SOC-2 Type 2 compliance. Vectara provides tools for developers and business users to create AI Assistants and Agents that can perform tasks such as analyzing unstructured data, solving deployment issues, generating legal contracts, and more. The platform supports multi-language data handling and offers API-first integration, stateful chat management, and auto-scaling features. It caters to industries such as telecommunications, education, healthcare, financial services, legal services, and manufacturing, and is designed to deliver fast, accurate, and secure AI-powered solutions.
• Build and scale the core infrastructure powering Vectara’s enterprise AI agent platform • Lead code, system design, and architecture reviews • Teach and mentor team members • Design, implement, and maintain scalable and secure backend services and platform components • Drive infrastructure automation, CI/CD, and monitoring and alerting pipelines • Collaborate with product engineering and research teams to deploy, scale, and optimize ML/NLP workloads • Lead initiatives to improve system reliability, scalability, and developer experience • Contribute to architecture and infrastructure decisions as the platform scales • Champion best practices in code quality, testing, and DevOps culture
• 5+ years of experience as a software engineer focused on backend systems and platform engineering • Proficiency in Java and Python • Deep experience with computing environments including GCP, AWS, on-premises, or Azure • Strong understanding of containerization and orchestration, including Docker and Kubernetes • Experience with infrastructure-as-code tools such as Terraform and Pulumi • Experience with observability tools such as Prometheus, Grafana, ELK, and EFK • Experience working on ML platforms or supporting ML workloads in production • Experience designing and operating distributed systems • Familiarity with data infrastructure such as Kafka, Spark, and Airflow • Proficiency in AI-assisted coding • Ability to manage multiple tasks and AI agents
• Equity ownership in the company • 100% paid medical, dental, and vision insurance beginning on the first day • Option of Health Savings Account (HSA) or Flexible Savings Account (FSA) • Generous paid time off (PTO) • Paid sick time • Paid holidays • Company rest days • Professional development and training opportunities • Company virtual happy hours • Fun team-building activities
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