Developer, AI Solutions

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $112k - $126k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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11:11 Systems

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

🤝 B2B

🔒 Cybersecurity

🏢 Enterprise

💰 Private equity on 2021-10

B2B • Cybersecurity • Enterprise

11:11 Systems is a provider of a resilient cloud platform and managed IT services focused on helping organizations modernize, protect, and manage their infrastructure. They offer managed public and private cloud, high-performance object storage, backup (including Veeam and Cohesity), disaster recovery as a service (DRaaS), and a suite of security services such as continuous risk scanning, managed detection and response (MDR), managed SIEM, and EDR. They also provide networking solutions (SD‑WAN, SASE, managed connectivity), consulting, and a Cloud Console for centralized management, targeting enterprise and professional customers.

📋 Description

• Build, configure, test, version, release, and improve governed AI agents, workflows, prompts, retrieval, approved data sources, and supporting automation • Translate approved business use cases into technical solution designs with assumptions, effort estimates, risks, and success criteria • Build and troubleshoot integrations, APIs, webhooks, and data connections with platform, data, application, and Security owners • Support technical onboarding of business teams onto newly built agents, workflows, or reusable AI solutions • Diagnose and address Tier 3 technical issues involving retrieval quality, indexing anomalies, workflow failures, agent failures, integration defects, permission-model behavior, and advanced configuration problems • Perform root-cause analysis and implement durable fixes • Author technical reproduction cases for vendor escalations and engage vendor engineering on complex defects • Produce reliability, quality, usage, and consumption telemetry for deployed AI capabilities • Document technical designs, integrations, agent and workflow definitions, and technical runbooks • Support technical evaluation of new vendor capabilities and changes, including compatibility, risk, governance, safety, and implementation considerations • Apply ethical and responsible AI standards and 11:11's Secure Development Policy • Partner with cross-functional teams on shared dependencies • Contribute to continuous improvement of technical AI patterns, reusable components, capability quality, and governance-aligned implementation practices • Evaluate and support in-scope AI capabilities embedded in other enterprise systems when technical integration or controls are required • Support advanced technical enablement for power users and builder-track audiences • Escalate policy, standards, architecture, prioritization, and vendor-commercial matters to the Director of AI • Follow company values, data handling agreements, work procedures, policies, privacy practices, compliance training, and policy acknowledgements • Perform additional duties as assigned

🎯 Requirements

• Bachelor's or university degree in a related Information Technology field, or equivalent years of related work experience required • 3+ years of demonstrated experience in application development, enterprise platform configuration, automation, integrations, business systems, or a related technical role • Demonstrated hands-on experience building with enterprise AI tools, agents, workflows, or comparable AI platform capabilities in a business environment • Working proficiency in Python or a comparable scripting language • Practical experience with REST APIs, authentication, webhooks, and JSON or similar structured data • Understanding of enterprise search and retrieval concepts including indexing, ranking, permissions-aware retrieval, grounding, and relevance tuning • Demonstrated skill in prompt and instruction design, including structured testing and iterative improvement • Experience with enterprise SaaS or search platforms, including Glean • Experience with identity and access models such as SSO, SCIM, RBAC, and group-based permissions • Familiarity with common AI risks including hallucination, prompt injection, over-permissioning, data leakage, and appropriate mitigations • Ability to write clear technical documentation for technical and nontechnical audiences • Must be legally eligible to work in United States without visa sponsorship • Experience with coding agents like Claude Code or Codex, AI workflow or evaluation tools, Cloud AI services, or Bedrock preferred

🏖️ Benefits

• Comprehensive healthcare plan options • Retirement plan with company match • Life and other supplemental insurances • Paid time off and company holidays • New Parent Leave • Wellness programs • Variable incentives such as bonuses or sales commissions may be available