AI Engineer

Conduit AI
San Francisco
Workplace: OnsiteFull timeUSD 150,000 - 250,000 annuallyFunction: Data Science & Machine LearningSkills: ["Problem-solving","Communication","Collaboration","Initiative"]

AI Engineer role focused on building and shipping production AI systems for hospitality-focused conversational agents. You will own end-to-end AI development, monitor performance, validate and test AI workflows, and collaborate with backend teams to scale and reduce latency in a fast-moving startup environment.

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FursaFursa
Conduit AI
Conduit AI
11 months ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

AI Engineer role focused on building and shipping production AI systems for hospitality-focused conversational agents. You will own end-to-end AI development, monitor performance, validate and test AI workflows, and collaborate with backend teams to scale and reduce latency in a fast-moving startup environment.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •End-to-end AI development: research and prototype advanced agentic AI, then turn prototypes into robust production services.
  • •Monitoring and analytics: implement metrics, dashboards, and alerting to track AI performance and spot issues early.
  • •Testing and validation: develop test frameworks (unit, integration) and create validation datasets for continuous evaluation of AI workflows.
  • •Collaborative architecture: work closely with backend engineers to integrate AI modules with the broader platform (Inbox, Workflows, Escalation Center, etc.).
  • •Scaling: ensure AI infrastructure is built to handle growing data volumes and real-time interactions with minimal latency.

Pay and Benefits

Salary: USD 150,000 - 250,000 annually

Key Requirements

  • •Experience building and shipping AI systems at scale, preferably with modern LLM-based techniques.
  • •Ability to work in a small, fast-moving startup environment with ownership over significant projects.
  • •Proven track record of delivering solutions that solve real customer problems.
  • •Strong collaboration with engineering teams and discomfort with red tape in decision making.
  • •Willingness to own end-to-end AI lifecycle from design to deployment.
Experience:AI/MLConversational AIStartupHospitality
Skills:Problem-solvingCommunicationCollaborationInitiative
Tech Stack:LLMAI systemsProduction servicesMonitoringData pipelines

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Conduit AI
Develops an AI platform and tooling to help organizations deploy, manage, and scale large language models and generative AI applications with privacy, security, and enterprise integration features.
Industry: AI & Machine Learning
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