326 to 350 of 585 Model Context Protocol Jobs

microservices cloud environment. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Experience contributing to agentic or LLM-based systems in production, including familiarity with the eval, observability, and rollback … Science or related field, or equivalent experience. Beneficial Experience Experience with AI-driven development (e.g. Claude Code, Codex) and agentic communication protocols (e.g. A2A, MCP) preferred. Large scale event processing a plus, but not required. Why Proofpoint? Competitive compensation Comprehensive benefits Career success on your terms Flexible work environment Annual ...

engineer to drive a dual-focus role split roughly 50/50 between AI work on GCP and core platform engineering. You will build MCP/agent tooling, ship LLM-backed features into our portals, and mentor AI-enabled dev practices across the team. The role requires strong production Python ...

Shipping features end-to-end across Rebel, used daily by real teams Making autonomous product and technical decisions Working directly with LLMs, agents, and MCP integrations Contributing to our open-screen ecosystem Helping shape engineering standards and culture as the team grows Mentoring and setting the bar for quality About ...

what is delivered Mentor engineers on craft, and develop their judgement about when and how to use AI tooling Build and maintain the integrations, MCP builds, API connections and infrastructure that sit beneath and around our GenAI platform Build systems, tools and solutions in an AI-native way Represent engineering ...

event-driven architecture and experience with messaging and caching technologies such as Kafka, Solace, Pulsar, Memcache, and Redis Experience building AI RAG and MCP agents Experience with monitoring and observability tools such as Datadog and the ELK stack Strong knowledge of database technologies, including advanced SQL, NoSQL, and time-series ...

changing software development. Using Copilot occasionally isn't really what we mean. Perhaps you're experimenting with Claude Code, coding agents, MCP, local LLMs, agentic workflows, automated testing/review, AI-assisted architecture or your own development tooling . You don't need to agree with every current trend ...

years in a leadership capacity. Deep understanding of global Funds markets with a deep understanding of Funds data landscape Strong grasp of data science, MCP AI, and agentic automation concepts and how they transform financial data workflows. Proven track record of defining and executing innovative product strategies that deliver measurable ...

production delivery Able to communicate your ideas clearly and build strong relationships globally within the front office Previous experience of agentic design (harnesses), MCP servers, and related AI/ML python libraries Strong analytical, problem-solving, and architectural design skills, with an ability to operate effectively in a front-office ...

visibility intelligence to win every moment of discovery – across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands ...

React: the agents people talk to and the apps they click through, built in TypeScript. And you don't stop there. From API and MCP design to infrastructure on Vercel, AWS, Supabase, and BigQuery, plus the agents that work across the stack, you own complete features end to end, including ...

Developer Enablement, Enterprise Architecture, the AI Foundry, and engineering leadership to build the infrastructure that makes agentic development effective at FactSet specifically. This includes MCP servers and skills that give AI tools access to FactSet's standards, libraries, and institutional knowledge; verification and trust layers that catch hallucination and enforce ...

into direct input to the CEO, CPO, CTO, and Product organization on roadmap priorities, platform strategy, competitive positioning, and emerging customer requirements, including Enterprise MCP, agentic AI frameworks, and governance. Field Enablement. Coach Solutions Engineering, Customer Success, and Sales leadership on executive engagement, strategic technology positioning, and boardroom storytelling. Build ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive … provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic. Implement tool-calling, function-calling, and MCP-style integrations so agents can safely take actions and interact with the systems around them. Create reusable agent templates, modular components, and paved-path patterns ...

information is presented to a senior audience. Platform-level automation. Experience with low-code/no-code platforms (e.g. n8n, Copilot Studio), MCP, LLM observability tools (e.g. Langfuse), or managed model APIs (Azure AI Foundry, OpenAI, Anthropic).Modern development practices. Familiarity with any of: Docker, Terraform, CI/ ...

spoken. Preferred Qualifications Fine‐tuning, RLHF, or model customization. Vector databases (Pinecone, Weaviate, or FAISS) and embedding retrieval. Building agent workflows with MCP servers or modern agent frameworks. Conversational AI and speech (speech‐to‐text/text‐to‐speech) and multilingual systems. Experience in the payments or fintech industry. … Spanish proficiency. Tech Stack Languages — Python (AI/ML), Go and Kotlin (platform services). AI & LLMs — LLM APIs and open models, agent frameworks, MCP, RAG. AI evaluation & observability — LangFuse, LangSmith, Braintrust, MLflow. Data & retrieval — vector databases, feature stores. Messaging — Apache Kafka, SQS. Databases — PostgreSQL, Redis. Infrastructure — AWS, Kubernetes, Docker ...

them reliably in production. Track record of building on shared enterprise data platforms (for example Snowflake) and delivering through modern interfaces such as MCP, rather than building parallel infrastructure. Team Building & People Leadership Proven ability to build, grow, and retain a high‐performing teams, defining roles, skills, and competencies … developing existing talent into a world‐class capability. Experience designing the operating model of a technical team, its ways of working, delivery cadence, quality standards, and tooling, in a product operating model context. A coaching leadership style that raises the technical bar while creating an environment where ...

other systems of record and engagement. Design integration patterns that let AI capabilities interoperate safely with enterprise data, identity,workflowand process automation platforms– including MCP and A2A and how these capabilities enable an enterprise Agent mesh. Understand the data,governanceand change implications of embedding AI into mission-critical enterprise processes. … Orchestration & control plane Architect the orchestration and control-plane layer that governs how AI capabilities are exposed,routedand managed across the enterprise. Design MCP, AI and LLM gateway layers for secure,observableand policy-controlled access to models and tools. Design agent and skills registries — including recommending suitable technologies and patterns ...

reshape how software is designed, built, tested and delivered. These roles will work across strategic product transformation, cloud and data platforms, enterprise AI services, context and knowledge engineering, quality, experience design and AI-enabled developer tooling. This is more than an opportunity to join an individual project … machine learning certifications or Bedrock specific training Hands on experience with LLM applications, agent frameworks or orchestration tooling, e.g. Bedrock AgentCore, Strands, LangGraph or MCP Experience building or contributing to an internal developer platform or shared enterprise capability Experience with event driven architecture and messaging platforms (e.g. Kafka ...

with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements and deliver production systems. Experience … Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/CD pipelines with delivering AI solutions from concept to production. Some other highly valued skills may include: Excellent communication ...

with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements and deliver production systems. Experience … Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/CD pipelines with delivering AI solutions from concept to production. Some other highly valued skills may include: Excellent communication ...

tool-calling, structured outputs, planning/state management, retries, guardrails, and orchestration layers on top of LLM provider APIs (Anthropic, OpenAI, open-weight models, MCP). Ship internal AI automations to remove engineering/support/growth toil by integrating with existing tooling (GitHub, Slack, Intercom, Jira) or building bespoke … practices (golden datasets, eval harnesses, tracing, graceful failure modes, cost/latency controls). Deep LLM-API fluency (Anthropic/OpenAI/open-weight), MCP, agent frameworks, and familiarity with AI coding tools (Claude Code, Cursor). Cloud and delivery experience: AWS and/or DigitalOcean, Docker, CI/ ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agentic frameworks — and can describe projects where you shipped real customer-facing work with these tools. You know how to drive … integration Experience with test-driven development, CI/CD workflows, and continuous integration tools (Jenkins, GitLab) Experience integrating AI technologies such as Skills, Agents, MCP Servers, or RAG pipelines Understanding of authentication and authorization approaches including OpenID and SAML Experience deploying cloud-native services on AWS with containerized infrastructure ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agentic frameworks - and can describe projects where you shipped real customer-facing work with these tools. You know how to drive … integration Experience with test-driven development, CI/CD workflows, and continuous integration tools (Jenkins, GitLab) Experience integrating AI technologies such as Skills, Agents, MCP Servers, or RAG pipelines Understanding of authentication and authorization approaches including OpenID and SAML Experience deploying cloud-native services on AWS with containerized infrastructure ...

three pillars of the AI strategy; AI for Service Delivery, AI for Digital Products and AI for Productivity. This spans the JTC Agentic Platform (MCP-enabled orchestration and validation across JTC systems and market tools), the enterprise document extraction platform, end-to-end billing agents (Agentic Thames and the Agentic … systems and institutionalise the multi-platform Agent Builder for craft-your-own agents. Agentic Platform & AI ArchitectureOwn the engineering of the JTC Agentic Platform, MCP-enabled orchestration and validation across JTC systems and market tools, maintaining in-house control of the agentic layer to avoid LLM lock-in. Build around ...

capability, including designing, developing and productionising AI-enabled solutions using retrieval-augmented generation, embeddings, vector search, context/prompt engineering, agentic AI patterns, MCP-based extensibility, and Microsoft ecosystem AI tooling. The role ensures these solutions are grounded in reliable, well-governed and secure data foundations. What … solutions for resilience, observability, cost-efficiency and maintainability across production environments. Design and implement custom AI-enabled systems and components, including retrieval-augmented generation, MCP-based extensibility, agentic AI architectures, embeddings, vector-based retrieval and context/prompt engineering. Build and productionise AI solutions using the Microsoft ecosystem, including ...