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Technical Support Engineer - India

Together AI· Customer Success
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Hybrid (Pune / Bangalore)full-timePosted 1mo ago

About the role

Technical Support Engineer at a pioneering AI company, providing first-line support to customers building training, fine-tuning, and inference solutions with Together AI; collaborate with product, engineering, and sales to drive customer success in a fast-paced AI environment.

Responsibilities

  • Triage and respond to inbound support tickets across self-serve and enterprise customers using a support/CRM platform; identify patterns in ticket clusters and surface them to engineering with context and affected case lists; follow through to resolution.
  • Draft clear, accurate status updates and maintenance notifications for customers during planned maintenance windows or incidents; communicate expected impact without exposing internal platform details.
  • Collaborate across Engineering, Research, and Product teams to address customer concerns; work with senior leaders internally and externally to ensure high customer satisfaction.
  • Answer customer questions about the platform's API, model/fine-tuning workflows, model availability, and deployment/endpoint configuration; reproduce reported errors to confirm expected vs. broken behavior and provide actionable next steps.
  • Provision and configure SSO connections for enterprise customers; guide customers through IdP-side setup steps; diagnose login failures by cross-referencing identity provider configurations; escalate platform-side gaps.
  • Triage customer billing questions using billing/subscription tooling; process or coordinate refunds for prepaid credits and disputed charges; investigate negative-balance and credit-limit issues; escalate edge cases to billing/finance with full context.
  • Resolve API key creation failures, org linkage issues, and project/key limit requests; coordinate user access changes (adding/removing org members, SSO org ownership transfers); investigate tenant isolation issues.

Qualifications

  • 2+ years of experience in a customer-facing technical role
  • Comfortable reading and writing curl/HTTP requests, interpreting JSON error responses, and understanding bearer tokens, rate limits, and API key scoping; ability to follow and reproduce API-level issues
  • Familiarity with how SaaS billing works (invoices, prepaid credits, refunds); comfortable navigating admin dashboards and understanding payment states
  • Working knowledge of SAML and OIDC concepts (ACS URL, audience URI, attribute mapping, IdP vs. SP); ability to guide a customer through configuration and differentiate client vs. platform-side issues
  • Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code (e.g., Ansible), high-performance networks, NFS-based storage management, container infrastructure, and scripting/programming languages
  • Excellent communication and interpersonal skills; ability to explain complex technical concepts to non-technical stakeholders
  • Prior experience with a customer support platform (Zendesk, Intercom, Pylon, Freshdesk, or similar); comfortable managing a queue, updating ticket state, and writing internal notes
  • Familiarity with how language model APIs work (tokens, context windows, serverless vs. dedicated inference)
  • Strong sense of ownership and willingness to learn new skills for team and customer success
  • Ability to operate in dynamic environments, multitask, and manage frequent context switching and prioritization

Skills

Required:API debugging and reproductionSAML and OIDC configurationBilling and refunds knowledgeCustomer support tooling

Benefits

  • competitive compensation
  • startup equity
  • health insurance
  • remote work flexibility
Last updated Sep 16, 2026. Interested? Apply on the company site.

About Together AI

The AI Acceleration Cloud - Fast Inference, Fine-Tuning & Training

Run and fine-tune generative AI models with simple APIs and scalable GPU clusters. Train & deploy at scale on The AI Acceleration Cloud.

AI native cloudFine-TuningGPU clustersInferenceTrainingai-infrastructure-and-developmentbrex-fastest-growing-2025liquid-ai-recruiting-target
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