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Location
Remote (United States)
Seniority
Staff · 5+ years exp
Visa
H-1B filings in 12 months: 3 · for this role: 2

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 2, 2026.

Overview
Company
Impact
Profile match
Vectara offers a retrieval-augmented generation and AI agent platform for enterprises, focused on regulated industries that need grounded answers from their own data. The service manages ingestion, semantic retrieval, reranking and generation, and adds its Mockingbird model tuned for RAG, guardian agents that mitigate hallucinations and the open-source Open RAG Eval framework built with the University of Waterloo. Founded in 2020 in Palo Alto by former Googlers Amr Awadallah, Amin Ahmad and Tallat Shafaat, it raised a $28.5 million seed led by Race Capital in 2023 and a $25 million Series A in 2024.

Role Overview:

Vectara is seeking a Senior/Staff Platform Software Engineer with strong experience in backend development and modern DevOps practices. In this role, you’ll work on building and scaling the core infrastructure that powers our AI agent platform. You’ll help design robust services and scalable systems, with a focus on automation, observability, reliability, and performance.

Key Responsibilities:

  • Proficiency in AI-assisted coding; able to do multiple tasks at once and manage AI agents to execute quickly and thoughtfully. 
  • Lead code, system design, and architecture reviews while teaching and mentoring team members.
  • Design, implement, and maintain scalable and secure backend services and platform components.
  • Drive infrastructure automation, CI/CD, and monitoring/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 we scale our platform.
  • Champion best practices in code quality, testing, and DevOps culture across the team.

Qualifications:

  • 5+ years of experience as a software engineer with a focus on backend systems and platform engineering.
  • Proficiency in Java and Python.
  • Deep experience with all computing environments (GCP, AWS, Onprem, or Azure).
  • Strong understanding of containerization and orchestration (Docker, Kubernetes).
  • Experience with infrastructure-as-code (Terraform, Pulumi, etc.)
  • Experience with observability tools (Prometheus, Grafana, ELK/EFK, etc.).
  • Experience working on ML platforms or supporting ML workloads in production.
  • Experience designing and operating distributed systems.
  • Familiarity with data infrastructure (e.g., Kafka, Spark, Airflow).
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