In this role, you will be responsible for building, maintaining, and scaling our enterprise AI infrastructure, including our proprietary agent orchestration……
; Develop code based on reading and understanding business and functional requirements following the Agile process Produce high-quality code to meet all project……
The role requires deep experience in managing multi-stream delivery, working closely with architects, developers, QA teams, customer stakeholders, and cross-……
Same as above with additional exposure to project management (Agile), testing and training 3 Documentation and Status Reporting Deliverables Status Reporting,……
You will be responsible for developing new Product features, enhancements, and Tech improvements. ? Flexible and self driven with a collaborative approach to……
To start with the project will be in the normal working shift. Strong understanding of supply chain planning processes (Demand, Supply, S, Scheduling) and how……
Certification: Certified as a Lead System Architect (CLSA) in Pega version 7.x or 8.x, with at least 2 years of hands-on experience in the role. ?…
We are seeking a highly skilled AI Platform Engineer to join our AI Enablement team. In this role, you will be responsible for building, maintaining, and scaling our enterprise AI infrastructure, including our proprietary agent orchestration platform (NOVA), AI gateway services, and Retrieval-Augmented Generation (RAG) pipelines across multi-cloud environments. You will work at the intersection of platform engineering, MLOps, and Agentic AI?enabling teams across the organization to leverage cutting-edge AI capabilities through robust, scalable, and secure infrastructure. Key Responsibilities ? Platform Development& Operations ? Develop, deploy, and maintain the NOVA agentic AI platform ? Manage LiteLLM as the central AI gateway ? Optimize LLM routing, cost control, load balancing, and failover ? Implement monitoring and observability using Prometheus, Grafana, OpenTelemetry RAG Pipeline Development ? Design and optimize Retrieval-Augmented Generation (RAG) pipelines ? Maintain document ingestion, chunking, embeddings, and vector stores ? Build RAG on GCP and Azure using managed AI services and vector databases Infrastructure& DevOps ? Deploy AI services on Kubernetes (AKS, GKE) ? Implement CI/CD with Jenkins, Opsera, GitHub Actions ? Automate infrastructure using Terraform, Helm, GitOps ? Ensure security and compliance Agentic AI& Automation ? Develop automation tools and scripts ? Build MCP servers for tool integrations ? Enable multi-agent orchestration and autonomous workflows ? Create SDKs, APIs, and developer documentation Required Qualifications ? 5+ years platform engineering / DevOps experience
? 2+ years AI/ML or LLM platform experience ? Strong Kubernetes, CI/CD, and cloud experience (GCP or Azure) ? Proficiency in Python and/or TypeScript Preferred Qualifications ? Experience with LangChain, LlamaIndex, or agent frameworks ? Familiarity with LiteLLM, MCP, Backstage ? Cost optimization for LLM workloads ? Enterprise-scale AI platform experience Technical Environment AI Platforms: LiteLLM, LangChain, LangGraph Cloud: GCP, Azure Containers: Kubernetes, Docker, Helm CI/CD: Jenkins, GitHub Actions, Opsera Observability: Prometheus, Grafana, OpenTelemetry, Dynatrace Languages: Python, TypeScript, Bash