Ai platform engineer

4 days ago


Delhi, India BayOne Solutions Full time

Job DescriptionWe are seeking a highly skilled AI Platform Engineer to design, build, and operate our next-generation AI application platform. In this role, you will work on advanced AI systems including Retrieval-Augmented Generation (RAG) pipelines, multi-model gateways, Model Context Protocol (MCP) tools, agentic workflow automations (e.g., n8n), and secure chat interfaces such as Open Web UI or custom-built solutions.You will be responsible for ensuring the production readiness of all platform components—covering Infrastructure as Code (Ia C), CI/CD pipelines, Kubernetes orchestration, observability, cost optimization, and governance. This role will work closely with product, data, and security teams to deliver scalable, secure, and high-performing AI-driven applications.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 Open Web UI or custom UI components.- Own Ia C (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 Dev Ops 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, Dev Ops, or AI/ML platform engineering.- Strong hands-on programming experience in Python, Go, or Type Script.- Expertise with Kubernetes, container orchestration, and cloud-native tooling.- Proficiency with Terraform, Helm, or other Ia C frameworks.- Experience building RAG pipelines, LLM integrations, or similar AI workflows.- Familiarity with n8n, Lang Chain, Open Web UI, or custom chat interface frameworks.- Solid understanding of observability tools (Prometheus, Grafana, ELK, Open Telemetry).- Experience with secure, production-grade deployments of AI or distributed systems.Preferred Qualifications- Experience with multi-model routing, inference gateways, or vector databases.- Knowledge of MCP (Model Context Protocol) and related developer tooling.- Prior experience scaling AI or distributed systems in cloud environments (AWS, GCP, Azure).- Understanding of SRE principles, access governance, and security best practices.



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