2026-11 Senior/Staff Software Engineer

Posted Yesterday
Hiring Remotely in US
Remote
Senior level
Machine Learning • Software
The Role
Build and scale secure backend services and platform infrastructure for an enterprise AI agent platform. Lead architecture and code reviews, infrastructure automation, CI/CD, observability, reliability, and performance initiatives. Collaborate with product and research teams to deploy and optimize production ML/NLP workloads, improve developer experience, and mentor engineers while establishing strong engineering and DevOps practices.
Summary Generated by Built In

Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with Accuracy, Security, and Explainability like no other solution. Our enterprise RAG Platform offers unparalleled Accuracy, Security, and Explainability by leveraging the strongest models for retrieval, embedding, reranking, an optimized LLM trained for quality, and advanced Hallucination Mitigation. We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ensuring accuracy, quality, and responsible AI that is production ready. These innovations have been cited in the New York Times, Visual Capitalist, and many other leading publications. This platform has allowed us to be very successful with over 100 Enterprise clients including the likes of large US military organizations, Financial services, Healthcare, and Manufacturing.


Our founding team includes industry veterans and experts in neural information retrieval and distributed systems from Google. Join us as we pursue our mission to help the world find meaning. People at Vectara are passionate about ensuring customers take advantage of breakthroughs in applied Artificial Intelligence (AI) to solve real-world technology and business problems today. Our team is a group of unquestionable all-stars in their respective fields of computer science and business from Google, Cloudera, Splunk, MongoDB, Elastic, and more.


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).

Equity and Salary Range: 

Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business.

Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives.  We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.  

Perks and Benefits:

100% paid Medical, Dental, Vision begins on your first day! Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time, holidays, and company rest days. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more. 

Skills Required

  • 5+ years of experience as a software engineer focused on backend systems and platform engineering
  • Proficiency in Java and Python
  • Experience with cloud and computing environments such as GCP, AWS, on-premises, or Azure
  • Strong understanding of Docker and Kubernetes
  • Experience with infrastructure as code, such as Terraform or Pulumi
  • Experience with observability tools such as Prometheus, Grafana, ELK, or 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, or Airflow
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The Company
HQ: Palo Alto, CA
31 Employees
Year Founded: 2022

What We Do

Vectara is an LLM-powered Answer as a Service. The platform provides a #chatgpt like service which enables you to have a conversation with your own data. Our 100% neural natural language understanding (NLU) technology provides radical increases in semantic relevance. Instead of a list of results ala legacy keyword-based systems, we provide a direct answer to the user's input prompt. Vectara’s complete neural pipeline is available as a service through an API-first platform that allows developers to easily add semantic answer serving within their applications.

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