• Build platforms for driving intelligent decisions, interacting with machine learning models, and powering interactions such as conversational interfaces • Collaborate with data scientists, data engineers, data analysts, software engineers, IT specialists, and stakeholders to expand effective use of AI applications • Research and prove out new approaches and algorithms through prototypes • Ensure high-quality system delivery and continually improve workflows and methods

• Develop, deploy, and maintain robust AI and machine learning pipelines for internal and client-driven projects. • Deploy, manage, and scale AI models, including pre-trained models (e.g., LLMs) and custom ML models, into production environments. • Work with data scientists to implement model prototypes into scalable, production-ready AI systems. • Optimize and tune model performance, latency, and cost-efficiency on cloud platforms. • Integrate AI/ML solutions with major cloud platforms (AWS, GCP, Azure) and utilize containerization technologies (Docker, Kubernetes) for consistent deployment. • Apply standard MLOps practices, including continuous integration/continuous delivery (CI/CD), model versioning, monitoring, and maintenance systems. • Collaborate with software engineering teams to ensure seamless integration of AI capabilities into applications and user workflows. • Stay up to date with advancements in AI/ML technologies, Generative AI, and MLOps deployment strategies.

• Design, develop, and maintain high-performance AI and machine learning pipelines for complex internal and client-driven projects. • Deploy, manage, and scale diverse AI models, including pre-trained models (e.g., LLMs, vision models) and custom ML models, into production environments. • Collaborate with data scientists and researchers to operationalize models, transforming prototypes into resilient, production-grade AI systems that meet stringent business requirements. • Optimize model performance, latency, and cost-efficiency across various cloud and edge deployment targets. • Integrate AI/ML solutions with major cloud platforms (AWS, GCP, Azure) and leverage containerization technologies (Docker, Kubernetes) for consistent deployment. • Implement comprehensive MLOps practices, including automated testing, continuous integration/continuous delivery (CI/CD) for models, model versioning, monitoring, and proactive maintenance systems. • Work closely with software engineering teams to ensure seamless and ethical integration of AI capabilities into larger applications and user workflows. • Stay up to date with the latest advancements in AI/ML research, Generative AI, data engineering, and MLOps deployment strategies.

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 , a 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. Job responsibilities Design, prototype, research and build AI systems for Vectara. Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs) and Multimodal Large Language Model (MMLLMs). Improve the quality of Vectara’s AI Agents and RAG-as-a-service platform, working on features like multilinguality, self-supervised learning, agentic behavior and hallucination reduction. Publish technical blogs, papers, and patents. Requirements: Preferred requirements: PhD in Computer Science/Engineering with 1+ years of industry experience. Publications in prestigious venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR as a key author. Experience as an ML engineer in an early-stage, high growth environment. Expertise in the following areas: Embedding models, rerankers Multimodal retrieval, question answering, and reasoning Vector databases, BM25 Planning and reasoning in LLMs Multilinguality in LLMs NLG Evaluation such as hallucination detection Location requirements: We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred. 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.