Developer, AI Solutions

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $112k - $126k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Logo of 11:11 Systems

11:11 Systems

1001 - 5000 employees

Founded 2020

🏢 Enterprise

🔒 Cybersecurity

🤝 B2B

💰 Private equity on 2021-10

Enterprise • Cybersecurity • B2B

11:11 Systems is a managed cloud and IT resilience provider operating an award‑winning resilient cloud platform. The company offers managed public and private cloud, high‑performance object storage, backup and disaster‑recovery-as-a-service (DRaaS), managed security services (MDR, SIEM, EDR, zero trust), and networking solutions (SD‑WAN, SASE, multi‑cloud connectivity), plus consulting and continuity services for enterprise customers. 11:11 positions itself as a VMware Pinnacle Partner and emphasizes modernization, protection, and management of mission‑critical workloads for organizations across regulated industries.

📋 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 on recurring technical issues and implement durable fixes • Author technical reproduction cases for vendor escalations and engage with 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 • 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 • Handle company data and information according to company agreements, procedures, and policies • Review and follow company policies, data privacy practices, annual 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 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 both technical and nontechnical audiences • Must be legally eligible to work in United States without visa sponsorship

🏖️ 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

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