AI DevOps Engineer (India)

AI DevOps Engineer (India)

16 Aug
|
Anthrobyte
|
India

16 Aug

Anthrobyte

India

01 · THE CHANCE
A founding infrastructure leadership role.
Anthrobyte builds enterprise AI systems that move organisations from pilot to production-grade adoption. As we scale, we need a platform engineer who can own the full infrastructure vision: model serving, MLOps pipelines, GPU cluster management, observability, and cloud architecture — all as one coherent, production-grade system.
This is less a traditional DevOps role and more a founding platform seat. You will work directly with AI engineers, product leadership, and enterprise clients to define how AI transformation is deployed, scaled, and made reliable inside complex organisations. You will be the person who makes AI products real.

HORIZON ONE · FOUNDING MANDATE
AI DevOps Engineer
Own the full platform layer — AI infrastructure, MLOps pipelines, model serving, observability, and cloud architecture — as one coherent, production-grade system.

GROWTH TRACK · MERIT-BASED
Lead/Architect/Head of Platform Engineering
Grow into engineering leadership — shaping platform strategy, building and mentoring a DevOps team,



and defining how AI infrastructure scales with Anthrobyte's client portfolio.

Requirements
— 02 · RESPONSIBILITIES
Own the platform. Power the transformation.
Hyperscale AI Infrastructure
– Design and operate AI infrastructure across multi-cloud environments (AWS, GCP, Azure) supporting LLM inference, fine-tuning, and RAG pipelines at production scale
– Architect GPU cluster management and optimise inference throughput using vLLM, Triton Inference Server, TensorRT, or equivalent serving frameworks
– Own infrastructure-as-code (Terraform, Pulumi) — reproducible, version-controlled, disaster-recovery-ready environments across all deployments
– Drive multi-region, high-availability architecture decisions that reflect the reliability standards enterprise clients require
MLOps & Model Lifecycle
– Build and maintain MLOps platforms — model versioning, experiment tracking, automated retraining, and d

📌 AI DevOps Engineer (India)
🏢 Anthrobyte
📍 India

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