LlamaIndex hiring Founding AI Engineer, Customer-Facing (JOB ID # 17162K) • Remote (Work from Home) | Himalayas
LlamaIndexLL

Founding AI Engineer, Customer-Facing (JOB ID # 17162K)

LlamaIndex provides a flexible framework for building AI knowledge assistants over enterprise data, facilitating the effective use of unstructured information through connection with large language models.

LlamaIndex

Employee count: 51-200

Salary: 215k-250k USD

United States only

Join us and help shape the future of AI by architecting next-generation knowledge systems.

Values we look for:

  • Unwavering Integrity with Purpose: We operate with complete honesty and stay true to our mission. Our work isn't just a job – it's driven by genuine passion and deep alignment with our goals.

  • Resourceful Innovation: We thrive in any environment, turning constraints into opportunities. Our ability to adapt and find creative solutions with limited resources sets us apart.

  • Exceptional Drive & Execution: We combine sharp intellect with relentless execution. Smart thinking alone isn't enough – we pride ourselves on turning great ideas into real results.

  • Elevate & Empower: We believe in collective growth. Success means lifting those around us, sharing knowledge, and helping our teammates reach their full potential.

  • Deep Expertise: We value and cultivate deep domain knowledge. True innovation comes from mastering our craft and understanding the nuances of our field.

Position: Founding AI Engineer, Customer-Facing

Duties:

Serve as a critical technical leader bridging LlamaIndex’s AI platform with enterprise customer needs. The role involves end-to-end ownership of complex customer implementations, deep technical collaboration with product/engineering, and significant personal commitment to customer success and innovation velocity.

  • Engage with enterprise clients to identify high-impact AI use cases and design tailored solutions that align with complex business goals and infrastructure constraints

  • Architect and implement scalable Retrieval-Augmented Generation (RAG) pipelines using Python, vector stores, and LLM orchestration frameworks.

  • Design and deploy secure, compliant, and scalable AI applications on cloud environments (AWS, GCP, or Azure).

  • Lead rapid development of proof-of-concepts, internal tools, and AI integrations with enterprise systems (e.g., Slack, Notion, Confluence).

  • Develop and maintain production-grade data pipelines using orchestration tools such as Dagster or Airflow.

  • Contribute actively to the LlamaIndex open-source project, driving core feature development, bug fixes, documentation, and community support.

  • Create frontend components and developer tools using TypeScript/JavaScript.

  • Lead customer workshops, deployment reviews, and technical onboarding sessions.

  • Translate customer feedback into product insights through close collaboration with engineering and product teams.

Requirements:

Bachelor’s degree in Computer Science, Computer Engineering, or a closely related field and five (5) years of post-baccalaureate experience in a technical role such as Machine Learning Engineer, Solutions Architect, or Customer Engineer.

Special Skills Required:

  • 5 years of hands-on programming experience in Python + SQL

  • 3 years building and deploying AI/ML solutions in production environments

  • 1 year customizing and deploying LLM-based applications, including RAG architectures

  • Deploying infrastructure on cloud environments using containers or infrastructure-as-code (e.g., Docker, Kubernetes, Terraform)

  • Frontend development with TypeScript/JavaScript

  • Interfacing directly with enterprise customers in a technical consulting or pre-sales capacity

  • Experience building AI-powered integrations with platforms such as Slack or Notion

  • Must be willing to travel domestically and internationally up to every 2 weeks to conduct customer workshops, deployment support, and cross-site engineering collaboration.

  • Weekend and evening hours will be required to support global deployments.

Wage Rate: $215,000 to $250,000 per yearHours: 40 per week

Place of Employment: 325 5th Street, San Francisco, CA 94107

Apply to: JOB ID # 17162K at https://www.llamaindex.ai/

This position qualifies for the Employee Referral Program offered by LlamaIndex Inc.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.

About the job

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Job type

Full Time

Experience level

Senior

Salary

Salary: 215k-250k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About LlamaIndex

Learn more about LlamaIndex and their company culture.

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LlamaIndex started as a visionary venture in the realm of AI, aimed at simplifying how enterprises build knowledge assistants using large language models (LLMs). The conception of this innovative platform stems from recognized challenges in dealing with unstructured data across industries. LlamaIndex’s mission is to empower enterprises by making LLMs more actionable and intuitive, thereby streamlining access to complex data.

Over time, LlamaIndex has evolved into a robust framework characterized by its ability to seamlessly connect enterprise data with LLMs. Trusted by numerous startups and established enterprises alike, it has garnered over 2.8 million monthly downloads and grown an impressive community of over 20,000 members. Leading organizations in sectors such as finance and manufacturing have turned to LlamaIndex to create bespoke AI-driven solutions. Notably, KPMG leverages LlamaIndex to enhance productivity and establish a standardized approach to developing internal AI agents. Its open-source nature and collaborative environment not only facilitate rapid prototyping of AI applications but also allow developers to contribute to a growing repository of connectors and tools under the LlamaHub initiative.

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