Member of Technical Staff - Platform Engineering

Bangalore · India (Bangalore - Prestige Dynasty Phase 2) · 8+ years experience · Onsite · Posted Oct 19, 2026

At a glance

We are seeking an experienced Senior Platform Engineer to lead the 'Inner Loop' of AI development.
In this role, you will bridge high-velocity AI experimentation and enterprise-grade production infrastructure ensuring LLM applications, RAG pipelines, and agentic workflows are built, tested, and deployed with high reliability and efficiency.

Deliver Platform Self-Service: Design internal APIs and abstractions allowing engineers to provision AI-ready environments complete with model weights, vector databases, and event streams via single-command automation.
Build Agentic & Go-Based Automation: Develop robust, type-safe internal tooling and AI agents in Go and Python to automate root-cause analysis, disaster recovery, and proactive infrastructure optimization.
Scale Event-Driven AI Pipelines: Architect asynchronous processing systems using Kafka and RabbitMQ to trigger dynamic infrastructure scaling and handle high-volume data streams like long-running document ingestion.
Ensure Reproducible Deployments: Maintain 'Golden Path' deployment standards using Docker and Kubernetes to keep models, prompts, and application code perfectly synchronized across all environments.
Optimize AI Observability & Performance: Manage GPU workloads, distributed caches (Redis), and vector databases while monitoring system health and AI-specific metrics like token latency and model drift.

Relevant Infrastructure Experience: 8+ years of experience in Platform Infrastructure Engineering with an emphasis on supporting AI application development and platform self-service.
Strong Programming Expertise: High proficiency in Golang.
Practical AI & Storage Knowledge: Hands-on experience integrating LLM APIs, prompt engineering, and RAG pipelines, alongside expertise in managing vector databases and distributed caches.
Orchestration & Event-Driven Systems: Deep experience with Kubernetes and asynchronous message streaming via Kafka or RabbitMQ.
Observability & Reliability Mindset: Strong background in full-stack monitoring Prometheus, Grafana, ELK to maintain operational resilience, high throughput, and zero-downtime standard operating procedures.