1 to 25 of 163 Remote/Hybrid Permanent Model Context Protocol Jobs

AI. You will work closely with other talented engineers to create secure, enterprise-grade AI software solutions, including Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and other AI framework capabilities that meet the complex needs of our clients. In this role, you will … frameworks, including internal APIs, middleware, and routing layers that allow other systems to securely utilize AI capabilities. Build Model Context Protocol (MCP) servers and a library of reusable "skills" (function calling/tools) that enable AI models to safely interact with our internal databases, microservices, and external ...

AI. You will work closely with other talented engineers to create secure, enterprise-grade AI software solutions, including Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and other AI framework capabilities that meet the complex needs of our clients. In this role, you will … frameworks, including internal APIs, middleware, and routing layers that allow other systems to securely utilize AI capabilities. Build Model Context Protocol (MCP) servers and a library of reusable "skills" (function calling/tools) that enable AI models to safely interact with our internal databases, microservices, and external ...

agent interaction Drive the application of GenAI to modernise, refactor, and accelerate legacy systems Define and implement APIs, contracts, and metadata aligned with the Model Context Protocol Shape and evolve internal tooling that supports AI-native SDLC workflows Influence architecture decisions, conduct design and code reviews … with experience delivering complex, high-scale systems Ability to mentor, guide, and upskill engineers within the team Familiarity with or eagerness to advance in: Model Context Protocol for managing context and tool interfaces for agents LLM integration patterns including prompt orchestration, multi-agent planning and tool ...

integration layers Design and govern agentic orchestration framework for multi-step workflows Establish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation Platform & Integration Design Define integration architecture across - Lakehouse, ODS, document systems; Underwriting systems and third-party APIs Design configurable … Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management Tool Access & Integration - MCP (Model Context Protocol) architecture and tool design; API design (FastAPI/REST/microservices); Integration with enterprise systems and third-party APIs ...

Ability to contribute to responsive frontend code when needed Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously DevOps … LangChain, LlamaIndex, or similar Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows Understanding of MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources Knowledge of LLM evaluation methods — measuring ...

market signals) to generate intelligence products such as client relationship briefings, competitive snapshots, and matter-context summaries. Apply LLM-based workflows, RAG, or MCP techniques to expand the types of intelligence the team can produce at scale. Identify opportunities to replace or augment manual report production through automation … ensuring quality inputs are utilized. Experience with approaches for grounding LLM outputs in firm and external data, including Model Context Protocol (MCP), retrieval-augmented generation (RAG), or similar integration architectures. Experience working in a professional services or legal environment preferred. Skills Proficiency in building and maintaining dashboards ...

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. ...

Future The Lead Software Engineer reports to the Engineering Manager. You will lead the design, development, and evolution of enterprise-grade AI solutions and MCP servers. This role requires a hands-on leader to deliver scalable, secure, and business-aligned AI infrastructure on AWS. A career with purpose. A career … where AI reduces manual effort and improves service outcomes. Design a repeatable, domain-aligned pattern as a Spotify Backstage Software Template. Architect production-ready MCP servers with integrated authentication and RBAC. Develop reference Python MCP servers for enterprise domains like Workday. Implement shared authentication libraries for Entra ID and OAuth ...

application development - prompt engineering, LLM orchestration, agent frameworks (LangChain, CrewAI, etc.), or RAG architectures. Familiarity with the Model Context Protocol (MCP) ecosystem or AI-native development environments like Cursor. Experience with infrastructure-as-code platforms (Terraform, Spacelift) and cloud governance practices. Significant experience with PostgreSQL and designing … frameworks (e.g., OWASP Top 10). HYBRID WORK ENVIRONMENT Team members in our Vancouver, Toronto, and Kansas City Junktion Hubs follow a hybrid work model that balances flexibility with in-person collaboration. Employees are expected to work from the office several days each month, with scheduled team collaboration ...

Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping … development. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Benefits Industry-leading training and development opportunities. Competitive salary with progression potential. 23-days holiday allowance, increasing with length ...

cases in Corporate IT (productivity, collaboration, automation). Knowledge/experience with agentic AI and the model context protocol (MCP) for secure, standardised connections between AI agents and enterprise systems/tools. Additional nice-to-haves: Advanced techniques: model distillation, federated learning, autonomous agents or multi ...

Title: Senior AI Platform Engineer Job Description We are building a next-generation Agentic AI Framework that integrates Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, Machine Learning, and advanced orchestration on top of our enterprise big data platform. We are looking for Senior AI Platform … data-driven systems. What You Will Get to Do Design and build a scalable Agentic AI framework on top of our data platform. Implement MCP- and A2A-based architectures for agent collaboration and orchestration. Integrate AI services with data pipelines (Airflow, Spark, Trino, StarRocks, DBT). Build APIs, SDKs ...

process domain to better support the business and align technologies with the business outcomes Develops cross-disciplinary knowledge and an understanding of the market context to drive organization-level solutions Work with the engineering leadership team to develop and execute on the company's technical and business strategy Conduct … knowledge of DevOps processes Experience with agentic orchestration frameworks such as LangGraph or LangChain, and familiarity with the Model Context Protocol (MCP) for building or securing agent tool interfaces Experience with policy-as-code frameworks (OPA, Cedar, or equivalent) in production cloud environments, particularly for access control ...

platforms (e.g. Claude, GPT), including an understanding of capabilities, trade‐offs, and enterprise adoption. Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale. Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine ...

platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine ...

platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine ...

Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Familiar with AI orchestration and agentic frameworks. Experience with tools for automated testing and evaluation of AI outputs. Knowledge of AI ethics ...

partner closely with our engineering teams to build a bridge between raw user behavior and actionable business intelligence, leveraging AI-driven tools like MCPs (Model Context Protocol) to eliminate manual toil and ensure 100% data integrity across our Web and App platforms. End-to-End Data Lifecycle ...

directly with traders and analysts to turn ambiguous questions into production‐ready tools and clear insights. Implement LLM and agentic workflows (prompt engineering, LangGraph, MCP, tool calling, retrieval, guardrails). Productionise solutions with testing, observability, versioning, documentation, and CI/CD. Must‐Have Skills: Hands‐on Databricks and Spark expertise ...

made architecture decisions at meaningful scale, so has a profile that evidence of that kind of decision making. AI as core leverage - LangChain, LangGraph, MCP, Claude Code, spec-driven development, prompt versioning at production etc., rather than just using AI as a productivity tool. What’s on Offer Opportunity ...

REMOTE (all over US) Zip Code: 95014 Top 3/5 Skills: Agentic AI depth, Orchestration, LangGraph, CAPA Claude/Anthropic: Claude production expertise MCP Server, Predictive ML/statistical analytics Medical device industry experience- 5-7yrs Min & Max Pay Rate: $75.00/hr. - $82.00/hr. Job Responsibilities ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...