BayOne Solutions

AI Platform Engineer

BayOne Solutions
3.77 / 5
Thiruvananthapuram Not disclosed
23 hours ago
On-Site
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About the job

We are seeking a highly skilled AI Platform Engineer to design, build, and operate our next-generation AI application platform. Key Responsibilities: • Design, develop, and operate the company’s AI application platform, including RAG pipelines, model gateways, MCP integrations, and agent workflows. • Build and maintain secure chat interfaces using OpenWebUI or custom UI components. • Own IaC (Terraform, Helm, etc.), CI/CD automation, and Kubernetes-based deployments for all AI platform components. • Implement robust observability solutions (monitoring, logging, tracing) across the platform. • Ensure platform reliability, uptime, and scalability using SRE and DevOps best practices. • Optimize compute, storage, and inference costs while maintaining performance and quality. • Establish strong governance, access control, and compliance processes across AI workloads. • Collaborate cross-functionally with product, data science, engineering, and security to deliver high-impact AI features and integrations. • Troubleshoot production issues and continuously improve the platform’s architecture and performance. Required Skills & Qualifications: • 4–10+ years of experience in software engineering, DevOps, or AI/ML platform engineering. • Strong hands-on programming experience in Python, Go, or TypeScript. • Expertise with Kubernetes, container orchestration, and cloud-native tooling. • Proficiency with Terraform, Helm, or other IaC frameworks. • Experience building RAG pipelines, LLM integrations, or similar AI workflows. • Familiarity with n8n, LangChain, OpenWebUI, or custom chat interface frameworks. • Solid understanding of observability tools (Prometheus, Grafana, ELK, OpenTelemetry). • Experience with secure, production-grade deployments of AI or distributed systems.

Requirements

  • Python
  • Go
  • TypeScript
  • Kubernetes
  • Terraform
  • IaC
  • RAG pipelines
  • SRE
  • DevOps

Qualifications

  • 4–10+ years of experience in software engineering
  • DevOps
  • or AI/ML platform engineering

Preferred Technologies

  • Python
  • Go
  • TypeScript
  • Kubernetes
  • Terraform
  • IaC
  • RAG pipelines
  • SRE
  • DevOps

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