via ats_lever · 11. Juni 2026 ·vor 2 Tagen

Technical Support Engineer, Tavily

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Switzerland Vollzeit
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Accountabilities

  • Monitor and respond to incoming technical support tickets, providing timely and accurate troubleshooting for API, product, and deployment-related issues.

  • Diagnose and resolve customer issues across LLM applications, integrations, and cloud environments, escalating complex cases to engineering when needed.

  • Support global customers through follow-the-sun coverage, ensuring continuity and responsiveness across time zones.

  • Collaborate closely with engineering, product, documentation, and customer success teams to investigate bugs and deliver resolutions.

  • Use and improve internal tools, runbooks, and diagnostics systems to enhance issue triage and support efficiency.

  • Participate in incident post-mortems, documenting root causes and contributing to long-term reliability improvements.

  • Track support performance metrics such as CSAT, resolution time, and recurring issues, contributing to continuous improvement efforts.

  • Improve and maintain knowledge base articles and documentation to strengthen self-service capabilities for users.

  • Provide feedback from customer interactions to influence product and engineering improvements.

  • Contribute to a high-ownership support culture focused on fast resolution and high-quality user experience.

Requirements
  • 2+ years of experience in technical support, customer engineering, or similar roles in SaaS, developer tools, or cloud environments.

  • Strong troubleshooting skills across APIs, backend systems, web applications, and distributed infrastructure.

  • Hands-on experience with Python and backend tooling, with familiarity in API debugging and integration workflows.

  • Understanding of LLM ecosystems, including concepts such as Retrieval-Augmented Generation (RAG), prompt engineering, and agent-based systems.

  • Familiarity with tools and frameworks such as LangChain, LlamaIndex, vector databases, or similar AI tooling ecosystems.

  • Experience working with logs, monitoring systems, and debugging production issues in real-world environments.

  • Ability to work with third-party integrations and understand complex system dependencies.

  • Strong written and verbal communication skills, with the ability to explain technical issues clearly and concisely.

  • High ownership mindset with a strong focus on customer success and problem resolution.

  • Flexibility to support global customers, including occasional off-hours coverage when required.

  • Ability to quickly learn new technologies and adapt in fast-changing technical environments.
Benefits
  • Competitive compensation package aligned with experience and market benchmarks.

  • Comprehensive health coverage, including medical, dental, and vision insurance (where applicable).

  • Retirement savings plan with company contribution and immediate vesting (where applicable).

  • Paid parental leave with differentiated coverage for primary and secondary caregivers.

  • Remote work support stipend for internet and mobile expenses.

  • Company-provided disability and life insurance coverage.

  • Fully remote or hybrid flexibility depending on location.

  • Opportunity to work on cutting-edge AI infrastructure and developer tooling.

  • International, highly technical team environment with strong engineering culture.

  • Career growth and learning opportunities in the rapidly evolving AI ecosystem.

  • Collaborative and innovative work environment focused on impact and continuous improvement.

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