1 to 25 of 44 Permanent Model Context Protocol Jobs

LLMOps/MLOps , and cloud-native delivery. Key Responsibilities: Architecture & Design Define and evolve reference architectures for AI-powered solutions spanning data ingestion → model orchestration → inference services → application integrations ; ensure scalability, security, and observability. Select and integrate LLMs (Azure OpenAI, Google, AWS) and design RAG pipelines with vector stores … designs, HLD/LLD, NFRs, and security/compliance patterns; ability to mentor squads and lead design forums. Preferred Skills Experience designing AI gateways , MCP (Model Context Protocol) implementations, and agent registries ; familiarity with metadata standards (DCAT/JSON‐LD). Exposure to enterprise AI platforms/ ...

manage the full model lifecycle from deployment through to performance optimisation. You'll design secure integrations using Model Context Protocol (MCP) and Agentic AI frameworks, architect and scale AIOps platforms to enhance IT operations and observability, and collaborate across data science and engineering teams to build … complex technical concepts to both engineering teams and senior client leadership. Tech Landscape: Conversational AI · LLMOps · MLOps · AIOps · Amelia · Python · Java · AWS · Azure · GCP · MCP/Agentic AI · Oracle · MSSQL · MongoDB · CI/CD · Linux · DevOps Interested? Get in touch with TechByte Talent for a confidential conversation about this opportunity. ...

leadership role. Tech Stack: Extensive hands-on Azure experience and deep practical knowledge of LLMs (Claude, OpenAI, Gemini). Innovation: Practical understanding of MCP (Model Context Protocol) and tool-calling for LLMs. Domain: Proven experience with financial data . Familiarity with trading platforms or fund admin ...

Engineer. Minimum 2 years of hands-on experience in AI/ML or data-intensive application development . Demonstrated experience designing, building, and testing MCP-based or similar integration solutions. Proven track record delivering production-grade data pipelines and backend systems for complex applications. Technical Skills Strong proficiency with Google … Development Kit (ADK) or comparable agent frameworks. Advanced software and data engineering expertise, including: Data modeling API development Model Context Protocol (MCP) concepts Deep understanding of the agent development lifecycle and agent design patterns. Experience implementing testing strategies and iterative development practices. Languages Professional proficiency in English ...

Data Engineer. Minimum 2 years of hands-on experience in AI/ML or data-intensive application development. Demonstrated experience designing, building, and testing MCP-based or similar integration solutions. Proven track record delivering production-grade data pipelines and backend systems for complex applications. Technical Skills Strong proficiency with Google … Development Kit (ADK) or comparable agent frameworks. Advanced software and data engineering expertise, including: Data modeling API development Model Context Protocol (MCP) concepts Deep understanding of the agent development lifecycle and agent design patterns. Experience implementing testing strategies and iterative development practices. Languages Professional proficiency in English ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...