76 to 100 of 583 Permanent Model Context Protocol Jobs

including LLMs, retrieval-augmented generation (RAG), autonomous and multi-agent systems, and modern interoperability standards such as the Model Context Protocol (MCP)—coupled with excellent communication skills to engage with clients and internal teams effectively. Your roleIn the role of Senior Consultant within Topaz Unit, you will … Experience in designing and scaling GenAI chatbots. Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler Good understanding of Responsible AI principles Ability to transform business problems into analytical solutions, fostering cross functional collaboration between ...

evolve the enterprise AI platform that powers AI products across 9fin.Develop scalable AI services supporting Agentic AI, Retrieval-Augmented Generation (RAG), embeddings, vector search, model serving, and intelligent automation. Build orchestration layers that transform structured and unstructured enterprise data into reusable AI capabilities. Develop production-ready AI applications using … experience. LLMs & Agentic AIHave hands-on experience building applications powered by Large Language Models (LLMs).Have experience building Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) solutions, making use of embeddings, vector databases, and modern LLM orchestration frameworks. Have experience building or contributing to agentic ...

Planning and Analysis (FP&A), Accounting, and leadership rely on to make critical decisions. You'll design and build the Snowflake architecture and dbt model infrastructure that underpins our topline data chain, and you'll be the person the team counts on when something needs to be fixed before … Functions) or AWS; familiarity with auth patterns (JWT, OAuth) and CI/CD fundamentals Preferred: Experience with Model Context Protocol (MCP) or similar frameworks for connecting AI agents to structured data Preferred: Background in B2B SaaS metrics: ARR, gross revenue retention (GRR), net revenue retention (NRR), churn ...

Amazon Bedrock; model gateways and routing, retrieval and hybrid search, document ingestion, tool/function calling, Model Context Protocol (MCP), and agent orchestration AI Evaluation & Quality: Eval harnesses and golden datasets, LLM-as-judge and human-in-the-loop review, regression suites, and red-teaming Observability … support to developers using platform services, triaging and resolving requests and issues. Support governed self‐service access to AI platform capabilities, including model access, retrieval tooling, and evaluation workflows, so AI capabilities can move from prototype to production using standard platform patterns. CI/CD, Release Management & Test Automation ...

engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you'll be building with Agentforce, Einstein, Prompt Builder, Model Builder, and Data Cloud to create agents and AI-driven features that hold up under real workloads.The work varies a lot. One day you might … building solutions for large-scale environments supporting hundreds or thousands of Salesforce users.Nice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling.Consulting & DeliveryProven experience translating complex business requirements and user stories into scalable technical solutions.Experience delivering solutions using ...

engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you'll be building with Agentforce, Einstein, Prompt Builder, Model Builder, and Data Cloud to create agents and AI‐driven features that hold up under real workloads. The work varies a lot. … solutions for large‐scale environments supporting hundreds or thousands of Salesforce users. Nice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling. Consulting & Delivery Proven experience translating complex business requirements and user stories into scalable technical solutions. Experience ...

engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you'll be building with Agentforce, Einstein, Prompt Builder, Model Builder, and Data Cloud to create agents and AI-driven features that hold up under real workloads. The work varies a lot. … solutions for large-scale environments supporting hundreds or thousands of Salesforce users. • Nice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling.**Consulting & Delivery** • Proven experience translating complex business requirements and user stories into scalable technical solutions. • Experience ...

first and foremost a software engineer who enjoys solving complex business problems through well-designed software. You understand how to design scalable systems, model complex business domains and build software that is reliable, maintainable and easy to evolve. You recognise AI as an important capability within modern software engineering … observability. BeneficialExperience with React and modern frontend development. Experience building Enterprise SaaS or ERP products. Experience working with Model Context Protocol (MCP) or similar AI integration standards. Experience with vector databases, AI observability or AI evaluation frameworks. Experience designing and delivering enterprise-scale AI platforms ...

project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Backend Software Engineer/Developer (Python LLM MLOps … MCP) opportunity. ...

backend services and REST/GraphQL APIs using Java/Spring Boot (or equivalent modern backend stack). Contribute to system architecture and data model design in collaboration with senior/lead engineers. Write clean, well-tested, maintainable code following TDD/BDD practices and team coding standards. Participate … strong aptitude to learn) building or integrating agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI , or the Model Context Protocol (MCP) . Ability to design and expose backend services as tools/functions callable by AI agents (tool schemas, function calling, structured outputs). Experience with ...

solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What … LLMs: building RAG solutions, agentic workflows, integrating LLMs (e.g., OpenAI, Gemini, Anthropic, etc.) into products, building and integrating Model Context Protocol (MCP) servers, and authoring Claude Skills to extend agent capabilities, etc. Experience in cloud-native development (AWS), with infrastructure and DevOps principles. Strong systems thinking, architectural ...

support. Smartsheet is building a market-leading AI narrative anchored in organizational intelligence, agentic workflows, and the Model Context Protocol (MCP), and this role exists to make that narrative land with EMEA field teams and the enterprise buyers they serve. As a Sr. Product Marketing Manager … executives and solution engineers. Build and maintain the EMEA AI content suite in Smarsheet’s enablement platformHighspot: discovery slides, AI use‐case messaging guides, MCP value narratives, and competitive positioning against regional alternatives. Track enablement adoption through leading indicators including Gong keyword usage, Highspot engagement, and qualitative field feedback ...

support. Smartsheet is building a market-leading AI narrative anchored in organizational intelligence, agentic workflows, and the Model Context Protocol (MCP), and this role exists to make that narrative land with EMEA field teams and the enterprise buyers they serve. As a Sr. Product Marketing Manager … executives and solution engineers. Build and maintain the EMEA AI content suite in Smarsheet's Enablement platformHighspot: discovery slides, AI use-case messaging guides, MCP value narratives, and competitive positioning against regional alternatives. Track enablement adoption through leading indicators including Gong keyword usage, Highspot engagement, and qualitative field feedback ...

Experience with agentic AI frameworks - multi-agent orchestration, planning and tool use, and integration patterns such as the Model Context Protocol (MCP); familiarity with Google ADK, Arize Phoenix SDK, Claude skills is a must. Overall knowledge of the Software Development Life Cycle, and a solid understanding … anomaly-detection approaches such as Isolation Forest, Local Outlier Factor, and locality-sensitive hashing. Solid grounding in data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems. Applied NLP experience - text-to-SQL/natural-language query, entity ...

translate complex technical architectures and AI concepts into clear insights for diverse engineering and business stakeholders. Knowledge of Model Context Protocol (MCP) and agent communication standards Experience with vector databases, RAG architectures, and semantic search systems Familiarity with cloud platforms (AWS, Azure, GCP) and their AI services ...

platforms such as Databricks or Microsoft Fabric. Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management. Why You’ll Love This Role You will build and lead the AI engineering capability for two of the most ...

internal data sources. Develop reusable tools and services that AI agents can invoke for retrieval, investigation, analysis and workflow execution. Apply RAG/context retrieval where regulatory documents, historical knowledge or issue repositories need to be searched. Implement confidence scoring, validation, guardrails and traceability for AI-generated outcomes. Build … advantageous. Familiarity with regulations such as EMIR, MiFID II or SFTR is a plus. Nice to Have Model Context Protocol (MCP) and reusable agent tool interfaces. Knowledge Graph/Graph RAG or data-lineage concepts. Vector databases, hybrid search or re-ranking. AI observability and evaluation frameworks. ...

checkpoints, using a framework such as LangChain/LangGraph, Amazon Bedrock AgentCore, CrewAI, LlamaIndex, Strands Agents, Google ADK, or OpenAI Agents SDK. Familiarity with MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources Basic data pipeline or ETL experience … feeding data into AI systems Awareness of AI specific security, compliance, and governance considerations (data handling, model risk, responsible use policy), particularly relevant given our regulated sector clients Experience monitoring AI system performance and cost in production Awareness of fine tuning, when and why it's used, even without ...

knowledge of LLM application patterns - prompt design, retrieval-augmented generation (RAG), embeddings and vector search, structured output, and tool/function calling. Familiarity with MCP (Model Context Protocol), Agent to Agent(A2A) Agent Skills and architectures that connect models to tools/data through standardized interfaces. Overall … frameworks and approaches (golden datasets, LLM-as-judge, human-in-the-loop review, red teaming). Solid grounding in data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems. Experience with AWS Bedrock, SageMaker (or equivalent managed ...

features or entire components across their complete lifecycle from conception to production supportMake commercially aware technical decisions by weighing engineering trade-offs in the context of business commitments, delivery timelines, and customer impact, not just technical purityLead technical discussions and influence architecture decisions within team systems and components, with … interactions through effective prompt engineering, efficient token usage, and optimisation techniques, combined with practical use of the Model Context Protocol (MCP) to integrate AI systems with tools and services for richer, automated workflowsExpertise with advanced monitoring and APM strategies using Datadog, including custom dashboards and alerting ...

assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands … with automation and workflow orchestration for operational efficiency. Published contributions to open‐source or industry‐recognized projects. Hands‐on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling. Experience enhancing AI‐powered coding ecosystems with enterprise ...

assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands … with automation and workflow orchestration for operational efficiency. Published contributions to open-source or industry-recognized projects. Hands‐on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling. Experience enhancing AI-powered coding ecosystems with enterprise ...

assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands … with automation and workflow orchestration for operational efficiency. Published contributions to open-source or industry-recognized projects. Hands-on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling. Experience enhancing AI-powered coding ecosystems with enterprise ...

develop robust, scalable, and maintainable automated test frameworks Collaborate with product managers, machine learning engineers, and data scientists to translate AI features and model behaviors into test cases and validation criteria Improve testing processes and infrastructure, integrating automated checks into CI/CD pipelines Identify, document, track, and analyze … challenges of testing generative AI outputs Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP) Experience with AWS, Azure, or GCP and Docker or Kubernetes in a CI/CD environment is a big plus Exceptional analytical skills and keen ...

cross-functional teams (product, design, QA) to deliver comprehensive solutions that meet business objectives· Influence technology choices based on deep technical understanding and business context· Lead team Agile ceremony facilitation to drive continuous process improvements, and establish team practices that enhance delivery predictability· Proactively identify and inspire resolution … interactions through effective prompt engineering, efficient token usage, and optimisation techniques, combined with practical use of the Model Context Protocol (MCP) to integrate AI systems with tools and services for richer, automated workflows· Expertise with advanced monitoring and APM strategies using DataDog, including custom dashboards and alerting ...