Shield AI

2 days ago

Senior Engineer, AI Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build and operate AI-enabled solutions that accelerate enterprise AI adoption. You’ll turn high-friction workflows into secure, reliable, measurable capabilities such as AI agents, prompts, connectors, dashboards, and workflow automations. Own reusable AI components and integrations, implement responsible AI controls and telemetry, and support model/prompt/agent lifecycle activities. Collaborate across engineering, IT, security, legal, data, and business teams to deliver shipped outcomes and reusable assets.

Location: San Diego, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build AI-assisted tools, workflow automations, agents, prompts, and integrations that reduce manual effort and improve productivity.
•Develop and maintain internal enablement assets such as prompt templates, agent examples, skill templates, playbooks, and usage guidance.
•Create reusable AI components and integrations (connectors, adapters, prompt modules, data pipelines, and service wrappers) and document onboarding for other teams.
•Implement responsible AI controls including data handling, access management, prompt safety, output validation, audit logging, and secure integration patterns.
•Instrument solutions and build dashboards for AI usage, adoption, policy adherence, cost visibility, error patterns, and operational health; support lifecycle activities like evaluation, testing, rollout, monitoring, and rollback.

Pay and Benefits

Salary: USD 160,000 - 290,000 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key Requirements

•Progressive experience building enterprise software, automation, data, AI, or digital workplace solutions.
•Hands-on experience integrating large language models, generative AI tools, APIs, RAG systems, agents, prompt workflows, or AI-assisted automation into production/enterprise environments.
•Strong software engineering fundamentals including API design, testing, observability, documentation, secure coding practices, and maintainable implementation patterns.
•Experience building integrations with enterprise systems, collaboration platforms, knowledge repositories, data platforms, or workflow automation tools.
•Working knowledge of AI governance concepts (access controls, data classification, audit logging, prompt safety, output validation, and model/prompt versioning).

Experience:Enterprise softwareAIAutomationDataDigital workplaceLarge language modelsRAG

Skills:CollaborationCommunicationSecure codingDocumentationObservability

Tech Stack:APIsRAG systemsLarge language modelsGenerative AIAgentsPrompt workflowsTelemetryLoggingDashboardsAudit loggingVersioning

Company Brief

Shield AI

Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn

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Shield AI

2 days ago

Senior Engineer, AI Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Diego, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build AI-assisted tools, workflow automations, agents, prompts, and integrations that reduce manual effort and improve productivity.
•Develop and maintain internal enablement assets such as prompt templates, agent examples, skill templates, playbooks, and usage guidance.
•Create reusable AI components and integrations (connectors, adapters, prompt modules, data pipelines, and service wrappers) and document onboarding for other teams.
•Implement responsible AI controls including data handling, access management, prompt safety, output validation, audit logging, and secure integration patterns.
•Instrument solutions and build dashboards for AI usage, adoption, policy adherence, cost visibility, error patterns, and operational health; support lifecycle activities like evaluation, testing, rollout, monitoring, and rollback.

Pay and Benefits

Salary: USD 160,000 - 290,000 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key Requirements

•Progressive experience building enterprise software, automation, data, AI, or digital workplace solutions.
•Hands-on experience integrating large language models, generative AI tools, APIs, RAG systems, agents, prompt workflows, or AI-assisted automation into production/enterprise environments.
•Strong software engineering fundamentals including API design, testing, observability, documentation, secure coding practices, and maintainable implementation patterns.
•Experience building integrations with enterprise systems, collaboration platforms, knowledge repositories, data platforms, or workflow automation tools.
•Working knowledge of AI governance concepts (access controls, data classification, audit logging, prompt safety, output validation, and model/prompt versioning).

Experience:Enterprise softwareAIAutomationDataDigital workplaceLarge language modelsRAG

Skills:CollaborationCommunicationSecure codingDocumentationObservability

Tech Stack:APIsRAG systemsLarge language modelsGenerative AIAgentsPrompt workflowsTelemetryLoggingDashboardsAudit loggingVersioning

Company Brief

Shield AI

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn