526 to 550 of 573 Model Context Protocol Jobs

ambiguous business requirements into clear and compelling technical solutions and providing solutions and ideas on the spot. Strong enterprise integration knowledge across APIs,SSO, MCP, data warehouse. Hands-on experience with LLMs and agentic systems, whether through prompt engineering, tool calling, evaluation or agent orchestration. Strong judgement when assessing technical … entirely; the natural progression of what we’ve been building toward. The product is highly differentiated. It’s built around a structured workforce data model that makes AI reliable in an HR context, something no one else has gotten right. Customers notice the difference immediately. We’re backed ...

tooling used by engineers across Wise, including security, access to models and tools, telemetry and evaluation. Building an engineering knowledge base exposed through a MCP server, so engineers and AI agents can find trusted internal context when they need it. Leading AI enablement across engineering through hands-on workshops … maintainable and observable. Practical experience using agentic tools to deliver real user stories, not only prototypes. You know how to give agents the right context and constraints, review their output and take responsibility for the result. A genuine passion for AI developer tooling and a habit of learning ...

Security, including AI‐integrated APIs and model endpoints. Data protection, secure key management and data classification principles. AI tool and agent security, covering MCP server governance, tool approval workflows and session management. Cloud‐native architectures and distributed systems design patterns. Skills and Competencies Strong skills in technical documentation, architecture ...

treats that as part of the job, not a side project. What you will do Conduct in-depth analysis of client needs and context, identify where AI delivers real value, and challenge stakeholders to develop solutions that address the actual problem rather than the surface symptom Design, formalise … your own work, while staying in control and challenging the output when it is wrong Practical understanding of Claude Code, Cowork, plugins and skills, MCP connectors, and what an AI agent actually is and is not Technical background sufficient to discuss enterprise architecture, integrations, and data flows at a senior ...

existing and emerging product lines, including the Talent CRM and Workforce Suite, and provides data-as-a-service to customers through channels such as MCP/API as an emerging commercial channel. Its core capabilities span the data models, taxonomies and integrations that underpin talent and workforce decisions across … right. Beyond internal embedding and direct commercial sales, the platform is open — customers and partners can build on top of it through MCP and API access. You will work with product leadership to set the strategy, agree what the platform provides internally, decide what becomes customer-facing, and define ...

looks like after 3 monthsOutbound volume and coverage are consistent across regions. Nobody asks "why did outbound drop last week?"Leadership references your ROI model in planning: cost per meeting, cost per pipeline dollar, trend. The top three SDR pain points from your first quarter are root-caused … welcome, not required. Global comfort. Four regions, several languages, overlap with US hours. Big Advantage:: hands-on LLM tooling beyond vendor UIs (Claude Code, MCP, custom agents); time in or working with SDR/BDR and demand gen function in B2B SaaS.The stack you'll driveSalesforce · Qualified · Salesloft · UserGems · Claude ...

suite of features that give developers everything they need to navigate design files and transform designs into code. In 2025, we introduced Figma's MCP, accelerating how ideas get to production. Looking to the future, we aim to further reduce the barriers between design to code and code to design … production. Join us in shaping the future of AI at Figma! What you'll do at Figma: Build and evolve Dev Mode our MCP tools and Make -, Figma's leading tools for dev/design collaborationTake part in building new 01 products within the agentic coding spaceCollaborate with designers ...

domain experts to solve real problems in drug discovery, clinical development, and commercial operations. Day to day: Design and productionise scalable GenAI solutions (RAG, MCP-style integrations, selective agentic patterns) Translate complex scientific and business problems into robust, well-integrated AI system designs Set the engineering bar for GenAI/… enrichment, vector stores alongside relational databases) Strong instincts for production trade-offs: monitoring drift, cost, latency, and reliability at scale Experience with prompt/model versioning, feature flags, and controlled rollouts Big plus if you also have: GenAI experience in life sciences, biopharma, or other regulated environments Familiarity with ...

rapidly adapt to new stacks. Hands-on experience with Claude Code (or equivalent agentic CLI tooling — Cursor, Codex CLI, Cline, Aider): writing skills, configuring MCP servers, and using AI tooling as part of daily development workflow. Understanding of AI-native development practices: prompt-first workflows, AI pair programming, agent-assisted … templates, pipeline components, and automation scripts that are made centrally available to engineering teams. Implement Claude Code (or equivalent agentic CLI tooling) skills and MCP servers based on designs from senior team members — testing, documenting, and iterating based on squad feedback. Support the golden path tooling: maintaining project templates, updating ...

evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third‐party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM‐powered enrichment steps, and a focus on improving data quality. Experience … expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. ...

Data Models. Work closely with Domain & Enterprise architects to agree on various critical architecture design decisions which in turn drives/impacts the data model/data architecture. More about you: An experienced Data Architect with a passion for creating order within reporting structures for Democratised usage at Enterprise … with different modelling methodologies - 3NF, Dimensional and Data Vault Abreast of the latest industry developments across data (Medallion Architecture, Data Mesh, Generative & Agentic AI, MCP, etc). Strong communication and influencing skills used to drive the implementation of data design best practice at the Engineering and Product Manager levels within ...

client experience through faster reporting and richer performance insights without increasing operational overhead. They will also design an automation architecture based on an MCP-first approach that allows tools to be replaced easily, new agents to be introduced rapidly, and the platform to evolve with changing technology. The CPO will … infrastructure into the network's primary activation capability. They will develop a unified activation layer that provides a consistent data model and buying interface across paid social and programmatic environments while managing strategic technical partnerships, API integrations, certifications, and evolving industry standards. Navigator's first-party data represents ...

person their engineers trust and come to directly, not through anyone else Build with the current AI stack day to day, RAG, agent frameworks, MCP or similar, evals Bring what you're seeing on the ground back to the team, it'll actually change what gets built next at this …/or TypeScript, from things you've actually built Hands-on experience with RAG, an agent framework like LangChain or LangGraph, and ideally MCP, from building with these, not just plugging in a vendor's version You use AI coding tools day to day already, Claude Code, Cursor, or similar ...

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. Internal Business Engagement: Build trusted relationships with senior stakeholders, translate complex concepts, and facilitate technical discovery workshops. Proactively identify, shape … 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 concepts and standards. DevOps & Quality Automation: Infrastructure-as-Code (Terraform/CDK/CloudFormation), CI/CD pipelines, and a strict ...

create reusable components, improve developer tooling and documentation, support consuming teams, and help shape modern design-to-development workflows; using Figma, MCP integrations, agentic cloud workflows and AI-assisted engineering tools. This is not an "AI for AI's sake" role: the goal is practical engineering impact, better component reuse … they improve quality, speed, consistency, or developer self-service. Help make DDS documentation and component metadata more useful to humans and AI agents through MCP-ready context, examples, and clear constraints. Lead through senior engineering craft: architectural judgment, code review, mentoring, pragmatic delivery, technical clarity, and high-quality communication. ...

bring. Build the data layer our agents act on: help connect our data to the AI agents and services we're building, including through MCP connectors, so they get the right context at the right time. Shape what we build: work with product and other stakeholders to scope problems … have, not essential : Experience working on customer-facing data integrations such as HRIS or payroll feeds via SFTP and in EDI format Experience with MCP server development , or different ways of preparing data for AI agents such as ontology modelling, context, knowledge graphs, and semantic layers. ...

teams, and implement robust evaluation and memory strategies to ensure safe, scalable AI delivery. The role emphasizes context pipelines, memory architectures, and enterprise MCP integration, with a focus on responsible AI and regulatory compliance within a high-trust financial services setting. #J-18808-Ljbffr ...

agents. Someone who has already rebuilt how they personally work around them — who runs their own harness, writes their own tools, has opinions about context management and eval design, and gets visibly restless watching a human do something an agent should be doing. You should be energised … failed, what you measured, and how you fixed them. You are fluent in the stack as it is, and tracking where it's going. MCP, tool and context design, retrieval, orchestration, eval harnesses, observability. Equally: you know what's changing, you have views on what the next capability jump ...

engineering (security, compliance, scalability) and support customers and partners through implementation. Establish success metrics for integrations and iterate based on real usage. API/MCP Own the product direction for Xapien's configuration API and MCP capabilities — how customers and AI agents programmatically configure, run, and consume Xapien research. Drive ...

unauthorised exfiltration of sensitive information across network, cloud, endpoint, and AI-integrated environments. Extend data classification and DLP coverage to AI ensuring training datasets, model inputs and outputs, and inference logs containing sensitive data are subject to the same controls as the broader data estate. Lead the engineering … security risks — including training data exposure, model inversion, prompt injection, and the data privacy implications of generative AI and agentic workflows such as MCP-integrated platforms. Collaborative by default, with a track record of partnering with IT, software engineering, and privacy teams to deliver data security outcomes that enable ...

types, validation rules – and can be trusted to operate on it correctly. You'd be doing full-stack product work in TypeScript and React: MCP tools and integrations, agent orchestration, system prompts, evals to make the whole thing more reliable. Engineers on this team own their domain and work closely … product on what gets built next. Responsibilities Deliver full‐stack product work: design and build React interfaces in Dashboards, APIs, and backend services. Develop MCP tools and integrations that extend what the agent can do. Implement agent loops – the orchestration logic that decides what the agent does, in what order ...

develop their judgement on using AI tooling Set standards for how technical problems are solved Be accountable for shipped deliverables Build and maintain integrations, MCP builds, API connections, and infrastructure supporting the GenAI platform Build systems, tools, and solutions in an AI-native way Represent engineering with senior stakeholders … Solving Soft Skills Mentoring Stakeholder Communication Problem-Solving Collaboration Industry Keywords Technical Direction Integration Delivery Quality Matrix Structure Tools & Technologies GenAI Tools API Connections MCP Builds AI-Enabled Tools #J-18808-Ljbffr ...

journey: onboarding workshops, developer hackathons, live troubleshooting, executive security reviews, adoption working sessions. Build and ship working software (Claude Code plugins, agents, sub-agents, MCP integrations, Cowork skills) both as customer deliverables and as reusable field assets. Drive adoption of the Claude Code capabilities that make the product stick … agents, skills, hooks, MCP, headless mode, managed settings) and turn new capabilities into field-ready demos and guides within days of release. Own enterprise deployment and identity conversations: SSO (SAML/OIDC), SCIM provisioning, role, seat, and spend-limit management, sandbox and permission design. Sit credibly across from CISOs ...

frameworks (e.g., Kubernetes)Strong debugging skills and the ability to navigate performance/security tradeoffs in production systemsComfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product developmentNice to haves: Experience … founder or early engineer at an infrastructure-focused startup, owning a product end-to-endFamiliarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP)Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks)Exposure to snapshotting and restore techniques (e.g., CRIU ...

e.g., Kubernetes) Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development Nice to haves: Experience as a founder … early engineer at an infrastructure-focused startup, owning a product end-to-end Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP) Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots ...