176 to 200 of 253 Model Context Protocol Jobs

design, product mechanics, and client requirements, translating business needs into scalable platforms. Apply modern AI and Generative AI techniques — including RAG, agent architectures, and context engineering — to enhance structuring workflows such as trade idea generation, documentation, and client engagement Drive the design and development of production-grade applications with … Experience with quantitative modelling and derivatives pricing Hands‐on experience with AI/ML frameworks and tooling such as LangChain, LangGraph, vector databases, and MCP-based orchestration Expertise in relational and/or NoSQL databases, data pipelines, and ETL processes Experience with microservices architecture and web development Knowledge of data ...

escapes. Responsibilities Solution Architecture & Design Consulting Serve as the consulting architect for AI use‐case teams across the bank: shape solution designs, data flows, model access patterns, and integration approaches aligned to the enterprise AI platform and gateway architecture. Produce and maintain reference architectures, design patterns, and working examples … gateway/governance patterns: model allowlisting, entitlement‐based access, usage controls, audit logging. Experience with vector stores, retrieval services, evaluation harnesses, and MCP/tool‐integration patterns. Experience mentoring teams new to AI delivery. #J-18808-Ljbffr ...

TensorFlow or scikit‐learn to build and deploy scalable solutions. Experience developing advanced AI/ML and GenAI solutions, including working with LLMs, RAG, MCP, agents or similar patterns in practical environments. Experience working with cloud platforms such as AWS, Azure or GCP to design and support scalable AI systems. … Experience with AI operations practices, including CI/CD, evaluation frameworks, monitoring and model registries. Experience with data engineering and large‐scale data processing. Payments or fintech experience, or experience working in dynamic change or transformation environments, alongside stakeholder communication and collaboration skills. Responsibilities & Accountabilities Build and maintain data ...

verbal communication skills with the ability to influence technical and business stakeholders. Preferred Qualifications Experience with agent frameworks, orchestration platforms, and protocols such as MCP, A2A, LangGraph, Bedrock, Vertex AI, OpenAI, Anthropic, or similar technologies. Experience building developer platforms, orchestration engines, SDLC tooling, or engineering productivity solutions. Experience implementing enterprise … systems within regulated or security-conscious environments. Experience with responsible AI governance, evaluation frameworks, and model quality practices. Contributions to open-source software, technical publications, patents, or industry conference presentations. the company Values At the company, we operate with a growth mindset and embrace diversity of thought and contribution. ...

manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns and advise clients on emerging Agentic Commerce standards (ACP, AP2, A2A, and secure payment models). Client Engagement & Account Growth: Build … patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging Agentic Commerce concepts and standards (ACP, AP2, A2A). Software Engineering & API Design: Strong development background (ideally TypeScript/JavaScript) coupled ...

internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability Raise … TypeScript Experience building and deploying LLM‐powered applications or AI agents in production Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks Experience implementing RAG pipelines, tool use, or multi‐step AI workflows Strong understanding of AI system evaluation, debugging, and observability Experience building reliable ...

applications inside client systems, ensuring solutions meet enterprise requirements for performance, security, and reliability. Develop technical assets — Create reusable, production-ready artefacts including MCP servers, sub-agents, agent orchestration frameworks, and evaluation tooling that can be deployed across client workflows. Support enterprise deployments — Play a key technical role in rollouts … Identify patterns and scale — Recognise repeatable deployment patterns across engagements and contribute those insights back to Accenture's I&E FDE practice and our model provider partners to continuously improve our delivery playbook. Maintain cutting-edge expertise — Stay ahead of the curve on LLM capabilities, agentic frameworks, evaluation methodologies ...

best practices in AI engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects … powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu: Our teams forge connections internally and work with some ...

trigger network actions. Support deployment and operation of AI platforms such as Vertex AI or similar. Integrate with vector databases, graph APIs, data pipelines, MCP servers, and automation backends. Support Kubernetes-based deployment of automation services, agent services, APIs, and microservices. Implement infrastructure-as-code for platform environments and network … Open APIs. NETCONF/RESTCONF, gRPC, vendor APIs. API management and orchestration. Intent-to-configuration workflows. Data pipelines. Vector databases and graph APIs. MCP integration. Security frameworks and compliance controls. Observability and logging. Preferred Certifications Kubernetes CKA/CKAD. Terraform Associate. Red Hat Ansible certification. Google Cloud, AWS, or Azure ...

safely trigger network actions.Support deployment and operation of AI platforms such as Vertex AI or similar.Integrate with vector databases, graph APIs, data pipelines, MCP servers, and automation backends.Support Kubernetes-based deployment of automation services, agent services, APIs, and microservices.Implement infrastructure-as-code for platform environments and network automation resources.Ensure automation … Ericsson automation-related certifications.TM Forum Open API certification.Nice-to-Have QualificationsExperience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms.Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks.Experience with ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, Cisco NSO, Juniper Paragon, or similar orchestration platforms.Experience building secure automation for production telecom ...

small, high-leverage team building production infrastructure for Generative AI at the company and DoorDash, with a primary focus on our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll work across model … routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self‐serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At the company, we know that ...

tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security … data engineering to build the whole thing yourself Hands-on production LLM and agent experience: prompt engineering, agent workflows, RAG, tool orchestration and MCP, with evidence you've shipped AI users actually rely on, and how you proved it could be trusted Evaluation-driven habits: golden datasets, eval frameworks, guardrails ...

edge components, ensuring sensible security trade-offs aligned to product goals. Advise on the security architecture of agent orchestration, tool integrations, memory handling, and MCP server deployments as agentic AI capabilities expand. AI Security and Governance Apply and evolve Semble's approach to AI‐specific threats: prompt injection, excessive agent … with engineering teams. Familiarity with API gateways, container orchestration, and software supply chain security. Experience securing AI‐enabled features, ML pipelines, agentic workflows, or MCP‐based integrations. Experience building or maturing a security function within a scaling organisation. Exposure to healthcare data regulations and NHS security requirements. Proficiency ...

Java web application development experience. Deep interest and hands-on experience with AI coding tools and LLM-based systems. Experience working with agents, prompts, MCP/tools, or similar ecosystems. Comfortable working at low-level detail including tokens, context windows, latency, and tool orchestration. Expertise in server-side development ...

used by institutional clients. As an early member of a small, senior team, you will work end‐to‐end across research, prototyping, data engineering, model implementation, production systems, and client‐facing applications. This is a high‐ownership role for someone who is comfortable contributing wherever needed in a fast … help harden new modelling approaches, analytical tools, and platform features. Work across the design and build of our internal AI layer, including LLM integrations, MCP servers, and agentic tooling, to automate research workflows and deliver analytical insights within the client‐facing platform. Help with the evolution of our cloud infrastructure ...

intelligent search) Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings Experience with cloud platforms (AWS preferred) Awareness of emerging AI tooling (e.g. MCP, A2A, Threads or similar) Open-source contributions or side projects, particularly involving scalable systems or AI This role is best suited to software engineers … products and platforms. What's in it for me? Permanent, full-time Software Engineer (AI Focus) role Salary £70,000 - £100,000 Hybrid working model with remote flexibility Private healthcare Professional development and funded learning Opportunity to work on modern, AI-enabled systems at scale Clear progression within ...

maintaining human-in-the-loop systems and AI monitoring/observability Strong fundamentals in AI/ML evaluation frameworks Experience building agentic systems including MCP, tool calling, memory systems, vector-based knowledge stores, guardrails In depth understanding of modern software design principles (e,g. microservices, event-driven architectures, domain driven … Management is a plus Key Responsibilities Develop and maintain Python-based AI applications Build and maintain document workflows using LLMs and classical NLP Debug model performance issues, handle edge cases, and optimize system reliability Write comprehensive tests and implement monitoring for AI/ML systems Rapidly prototype new features ...

flag use cases with broader applicability to the wider AI organization.* Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance.**European Hours Production Support — Lane Assist/POET*** Provide first-line support for Lane Assist and the Portfolio Optimization Engine Technology … audiences.* Experience gathering and synthesizing requirements across multiple stakeholder groups and influencing product or platform roadmaps.* Familiarity with LLM ecosystems (e.g., prompting, RAG, agents, MCP, fine-tuning, evaluation) and major AI platforms/APIs.* Experience in financial services, asset management, or portfolio analytics is a strong plus.* Good-to-have ...

flag use cases with broader applicability to the wider AI organization. Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance. European Hours Production Support — Lane Assist/POET Provide first‐line support for Lane Assist and the Portfolio Optimization Engine Technology … audiences. Experience gathering and synthesizing requirements across multiple stakeholder groups and influencing product or platform roadmaps. Familiarity with LLM ecosystems (e.g., prompting, RAG, agents, MCP, fine‐tuning, evaluation) and major AI platforms/APIs. Experience in financial services, asset management, or portfolio analytics is a strong plus. Good‐to‐have ...

prompts, skill instructions, and tool/action definitions; connect agents to HR Case and Knowledge Management, catalog items, and external systems (e.g., Workday A2A, MCP), the Generative AI Controller, Flow Designer, and REST APIs. Configure and extend Virtual Agent conversations and Now Assist for HRSD experiences, including … Certified Implementation Specialist - Human Resources (CIS-HR) and/or ServiceNow AI Agent/Now Assist credentials. Working knowledge of the ServiceNow HRSD data model - HR Cases, HR Services, Employee Center, HR Knowledge, Lifecycle Events/HR Journeys, and Employee Document Management. Hands-on proficiency with the Now Platform ...

follow-up calls Expanding the company's customer-facing AI assistant Using multimodal models to process service histories, photographs and documents Extending an internal MCP server that connects AI tools with company systems Developing internal applications and dashboards Contributing to applications used by employees across the company's stores … following would be helpful: Third-party API integrations AWS Lambda or serverless development Event-driven systems OpenAI, Anthropic or other LLM APIs Prompt engineering, MCP or agent patterns React PHP, Laravel, MySQL or DynamoDB Swift or SwiftUI You are not expected to have worked with everything listed. What this role ...

controls in place so AI outputs remain reliable and cost‐effective. Scale practical AI adoption Design and implement AI workflows as skills, models and MCP tools in OpenWebUI, with cost control, provider routing and observability built in. Partner with other departments to turn AI capabilities into everyday workflows, reusable tools … build durable institutional capability. Reliability, cost control, observability, instruction‐following, usability and adoption matter most. The team designs reusable workflows, skills, models and MCP tools that support Penta’s move towards an AI‐native advisory operating system. Keeping Penta at the forefront of practical AI in PR, communications and strategic ...

agents in the loop on every change. That's leverage, and it's a new attack surface: prompt injection against agent harnesses, untrusted MCP server outputs, IAM scope creep on agent‐driven tooling, model and prompt supply chain. You'll own the security layer of our agent platform: sandbox … paths, KMS misuse, and the defences for each Incident response leadership end‐to‐end on a real incident (containment, eradication, forensics, write‐up) Authoring MCP servers or custom agent tools with a security lens Product Security Engineer Job Description 3 Familiarity with AGENTS.md/CLAUDE.md patterns and skill authoring Cryptography ...

effectively. Задачи: Design, build, and operate core GenAI platform components, including an LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling, and infrastructure for long-running agentic workflows; Own production-quality delivery of platform features from design through rollout, monitoring … asynchronous workflows, idempotency, consistency trade-offs, and designing for failure; Hands-on experience with LLM APIs or strong interest in learning about rate limits, context windows, multi-vendor routing, latency variance, and cost control; Security mindset for AI systems, including prompt injection risks, PII in logs, data leakage ...

APIs and understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data … experience in industry A team player who shows initiative Desirable experience: Experience with LLM guardrails and PII-redaction Understanding of LLM tool development and MCP Knowledge of Speech-to-Text (STT) or Text-to-Speech (TTS) technologies Experience with WebSockets and streaming data Familiarity with Telephony/VoIP Other Skills ...