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AI Solutions Engineering

Chainguard

full-remotemidpermanentfullstackproduct-management Full remote - New-York, US Today via WTTJ

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Tags

GoPythonLLM APIsRAGPrompt EngineeringAgentsMCPAPI IntegrationsResponsible AISoftware Supply Chain Security

About the role

Role Overview

Chainguard is hiring an AI Solutions Engineer for a hands-on role to identify high-leverage AI opportunities, prototype and validate use cases, and work closely with cross-functional teams.

Key Missions

  • Identify and prioritize workflows where AI can deliver significant impact, improving revenue or operational efficiency.
  • Take prioritized use cases from idea to working prototype, including:
    • internal workflow automations
    • reusable prompt systems
    • AI-enabled tools
  • Collaborate with functional owners, the AI Enablement Council, and AI Ambassadors to validate opportunities and build the business case for investment.

Responsibilities

  • Build internal workflow automations and AI-enabled tools.
  • Create early integrations across SaaS systems and internal workflows.
  • Ensure responsible AI use and strong data hygiene.
  • Translate ambiguous needs into shippable prototypes and drive execution independently.

Requirements

  • Programming proficiency in at least one language, with preference for Go and/or Python.
  • 4+ years building software, automation, or internal tooling.
  • Ability to wire together APIs, automations, and integrations across SaaS (e.g., Slack, Google Workspace, GitHub, Linear).
  • Experience using AI tooling in real work (e.g., Claude Code, Copilot, Cursor).
  • Hands-on experience building on LLM APIs, including:
    • tool/function calling, agents
    • prompt and context engineering
    • RAG
    • patterns like MCP
  • Experience building agent skills, MCP servers, and/or orchestration/automation frameworks.
  • Comfortable communicating with non-technical stakeholders, scoping problems, sizing impact, and prioritizing by feasibility.
  • Strong English communication and autonomy in a remote, globally distributed team.
  • Responsible-use mindset aligned with security/legal/data-handling guardrails.

Nice-to-Haves

  • Interest in software supply chain security, secure SDLC, or responsible AI governance.
  • Active involvement in open source.
  • Cross-functional background in solutions engineering, internal consulting, or forward-deployed/applied roles.
  • Track record of turning workflow ideas into tools teams adopt.

About Chainguard

Chainguard is an emerging AI company focused on building practical AI solutions. The role emphasizes hands-on prototyping, internal workflow automation, and responsible AI use across teams.

Scraped 6/19/2026

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