Technical Support Engineer (Inference) - India Weekends

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Skills you'll use

What you'll do

• As a Technical Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.
• This is a fulltime position working India daytime hours. The role will work both weekend days (Saturday and Sunday) as well as two additional weekdays.
• This is a 4-day shift, 10 hours per day, with 2 additional hours of on-call coverage on Saturdays and Sundays.
• The role would start as a Monday to Friday role for the first few months to allow for ramping up and learning from teammates. After being considered fully ramped, the role would transition to the 4-day weekend shift.

Who can apply

• 6+ years of experience in a customer-facing technical role, SRE, DevOps, or infrastructure engineering, with at least 1 year in a support role for an AI service
• Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.
• Advanced, production-level experience with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, and container infrastructure
• Familiarity with operating storage systems in HPC environments such as Vast and Weka
• Proven ability to diagnose complex network-layer issues and read traces
• Strong knowledge of Python, TypeScript, and/or JavaScript with testing/debugging experience using curl and Postman-like tools
• Demonstrated expertise with observability tooling (e.g., Prometheus, Grafana) at scale
• Deep familiarity with REST API debugging and HTTP semantics
• Experience with LLM inference frameworks and LoRA fine-tuning and common training failure modes
• Experience with Infrastructure as Code and Git-based workflows

About Together AI

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