76 to 81 of 81 Remote/Hybrid Model Context Protocol Jobs

gets better at automation, not when you write every test yourself. Use AI tooling as a force multiplier Embed AI assistants and MCP-connected tooling (browsers, issue trackers, internal APIs, documentation) into the day‐to‐day authoring, triage, and review workflow. Set the standards for how the wider team uses … role is judged on team-wide capability, not personal output. Fluency in using AI tooling day‐to‐day (Claude Code or similar agentic tools, MCP servers) to accelerate test design, authoring, triage, and review. Excellent communication: you can defend a framework choice to engineering leadership and pair with a junior ...

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. ...

infrastructure to scale impact beyond individual partnerships. Responsibilities Serve as a deep technical partner to mission‐driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more. Provide hands‐on support … partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development. Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills. Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research. Create technical presentations ...

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 ...

this in an AI-first engineering culture. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development, both personally and through how you set up your teams. What … even further even faster. Every employee gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in platform capabilities (MCP servers, skills, shared tooling) that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means ...

Risk assessing AI integrations requires technical depth and will form the core of the role. Develop and maintain a deep working understanding of how MCP servers, API connections, permission scopes, and agentic frameworks function in practice, and what each means for data exposure, privilege escalation, and system integrity. Assess … independently. Able to identify and articulate risks that requesters have not considered. AI & Agentic Systems Knowledge: A working understanding of how LLMs, agentic AI, MCP servers, and AI integration patterns function, and the security risks they introduce, including prompt injection, tool misuse, data leakage, permissions that exceed what the integration ...