Chainguard

1 month ago

AI Solutions Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

AI-focused solutions engineer who partners with engineering, GTM, product, and operations to identify high-impact AI opportunities, builds internal workflow automations, prototype AI-enabled tools, and ensures responsible, secure deployment across Chainguard.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Find high-leverage opportunities across functions and prioritize workflows where AI can deliver outsized impact, weighing impact potential against feasibility.
•Prototype and validate prioritized use cases from idea to working prototype — internal workflow automations, reusable prompt systems, AI-enabled tools, and early workflow integrations.
•Partner across the business with functional owners, the AI Enablement Council, and AI Ambassadors to understand real workflow needs and build the business case.
•Build responsibly: use approved tools and established Legal and Security review pathways, validate outputs, ensure clear human review, and maintain data hygiene.
•Document what you built and share your work across the company through Builder Hours, demos, and showcases; surface recurring technical needs and reuse opportunities.

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkHealth InsuranceEquityParential LeaveTime Off

Key Requirements

•Minimum of 4 years building software, automation, or internal tooling, with excellent problem-solving skills and the ability to drive ambiguous, zero-to-one work independently.
•Hands-on experience using AI tools (e.g., Claude Code, Copilot, Cursor) in real work, and building on top of LLM APIs — tool/function calling, agents, prompt and context engineering, RAG, and patterns like MCP.
•Able to wire together APIs, automations, and integrations across the SaaS systems a company runs on (e.g., Slack, Google Workspace, GitHub, Linear) into reliable internal tools and prototypes.
•Programming proficiency in at least one language, with strong preference for Go and/or Python.
•Strong communication skills in English and the ability to work autonomously in a remote, globally distributed team.

Experience:4+ yearsAISaaSInternal tooling

Skills:PythonGoClaude CodeCopilotCursorLLM APIsAPI integrationSaaSSlackGoogle WorkspaceGitHubLinear

Languages:English

Tech Stack:GoPythonClaude CodeCopilotCursorLLMAPISlackGoogle WorkspaceGitHubLinear

Company Brief

Chainguard

Builds software supply chain security solutions for containerized and Kubernetes-native environments, offering tools for secure builds, attestations, vulnerability scanning, and policy enforcement to help organizations deploy trustworthy software at scale.

Industry: Cybersecurity

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Funding: Series C

Headquarters: Seattle, United States

Founded: 2020

Website LinkedIn

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Chainguard

1 month ago

AI Solutions Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Find high-leverage opportunities across functions and prioritize workflows where AI can deliver outsized impact, weighing impact potential against feasibility.
•Prototype and validate prioritized use cases from idea to working prototype — internal workflow automations, reusable prompt systems, AI-enabled tools, and early workflow integrations.
•Partner across the business with functional owners, the AI Enablement Council, and AI Ambassadors to understand real workflow needs and build the business case.
•Build responsibly: use approved tools and established Legal and Security review pathways, validate outputs, ensure clear human review, and maintain data hygiene.
•Document what you built and share your work across the company through Builder Hours, demos, and showcases; surface recurring technical needs and reuse opportunities.

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkHealth InsuranceEquityParential LeaveTime Off

Key Requirements

•Minimum of 4 years building software, automation, or internal tooling, with excellent problem-solving skills and the ability to drive ambiguous, zero-to-one work independently.
•Hands-on experience using AI tools (e.g., Claude Code, Copilot, Cursor) in real work, and building on top of LLM APIs — tool/function calling, agents, prompt and context engineering, RAG, and patterns like MCP.
•Able to wire together APIs, automations, and integrations across the SaaS systems a company runs on (e.g., Slack, Google Workspace, GitHub, Linear) into reliable internal tools and prototypes.
•Programming proficiency in at least one language, with strong preference for Go and/or Python.
•Strong communication skills in English and the ability to work autonomously in a remote, globally distributed team.

Experience:4+ yearsAISaaSInternal tooling

Skills:PythonGoClaude CodeCopilotCursorLLM APIsAPI integrationSaaSSlackGoogle WorkspaceGitHubLinear

Languages:English

Tech Stack:GoPythonClaude CodeCopilotCursorLLMAPISlackGoogle WorkspaceGitHubLinear

Company Brief

Chainguard

Industry: Cybersecurity

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Funding: Series C

Headquarters: Seattle, United States

Founded: 2020

Website LinkedIn