26 to 36 of 36 Permanent Model Context Protocol Jobs

product requirements, and to provide early, high‐level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships … focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms ...

process at varying customer scales, and expertise in associated migration utilities, and hybrid SaaS and on-premise deployment models Experience with Rovo, Agentic AI, MCP, and/or other AI integrations You're fluent in English. Due to a strong customer presence in the DACH region, professional-level German communication ...

multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design … execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets ...

multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design … execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets ...

containerized workloads, and DynamoDB-backed distributed architectures. Optimize AI systems for latency, throughput, scalability, caching, context efficiency, and cost. Build APIs, integrations, MCP Servers, and reusable platform capabilities to connect AI systems with enterprise platforms, tools, and workflows. Establish evaluation, experimentation, regression, and observability frameworks to continuously improve … evaluation and observability frameworks. Expertise in cloud-native architectures and container orchestration. Proven track record of cross-functional collaboration and leadership. Familiarity with MCP protocols and enterprise integration patterns. Advanced skills in optimizing AI systems for performance and cost. Demonstrated commitment to fostering an inclusive and innovative team culture. #J ...

enterprise data architecture underpinning Quantios Insights, our next-generation data platform that unifies data from all Quantios products and powers analytics, regulatory insights, MCP automation, and AI-driven capabilities. You will define the architectural standards, models, integration patterns, and governance frameworks that ensure the platform is reliable, scalable, secure … sets, and semantic enrichment layers. Collaborate with LLMOps Engineers to ensure high-quality, well-structured data flows into embeddings pipelines and retrieval systems. Support MCP-based data access patterns by designing structured data interfaces and schemas tailored for agent use. Define patterns for unstructured data processing and preparation ...

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 ...

operations. Job Overview Key Responsibilities Help design and build internal AI-assisted developer tooling and engineering workflows. Contribute to AI development harnesses, orchestration tooling, MCP integrations, prompt/tooling standards, and agentic development workflows. Support rollout and adoption of AI engineering and related ecosystem tooling. Help measure and improve developer … engineering. Has decent experience with automation, APIs, scripting, CI/CD, developer tooling, or cloud platforms. Familiarity with prompt engineering, AI orchestration frameworks, MCP servers, or agentic workflows. Nice to Have Experience with developer productivity or DX metrics platforms. Exposure to platform engineering, internal developer platforms, Backstage, or self-service ...

prompt engineering, writing skills, and working with LLMs in real-world applications. You can demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python … obvious AI platforms such as GPT, Opus, Gemini, Sonnet. You will help the company move to a more fluid API/MCP architecture, including building connectors, that will make it easier for 3rd party ISVs to consume our data and features, and make it easier for the company to consume ...

workflows, prompts, rules and orchestration logic aligned to governance and risk requirements. Utilise Mulesoft tool such as Agent Fabric,Vibes, AI Gateway (LLM/MCP/A2A) to integrate agents into existing flows, data models and processes. Agent Control, Monitoring & Governance Implement control, monitoring and observability for Salesforce agents, including … experience working with Salesforce, including customisation, integration and automation. Knowledge of existing and emerging MuleSoft technologies such as Agent Fabric, Vibes, Gateway (LLM/MCP/A2A). Experience designing or implementing agentic or AI-driven automation within Salesforce or similar platforms. Strong understanding of API security, authentication mechanisms ...

works, seeded by real discovery data, not generic “how to prompt” sessions. Build department‐specific AI automations using Claude, including custom Projects, Skills, and MCP integrations. Run the Weekly AI Pulse tracking happiness, confidence, and new automation opportunities across every engagement. Create AI playbooks, Skills, Plugins, onboarding content, and training … modules for graduates and experienced hires. Lead Enterprise AI Fast Start engagements for enterprise customers 6–10 weeks from discovery to handover. Manage the MCP Evaluation Pipeline: assessing, governing, and deploying AI integrations with the right security and governance. Build champions networks that sustain AI adoption beyond any single engagement. ...