• Writes production-grade code every day
• Builds systems, not POCs
• Owns deployment and operations
• Has strong software engineering fundamentals
• Agentic / Multi-Model Experience
• Azure + Copilot Stack Proficiency
• Secure AI / Engineering Practices

Senior Lead AI/Full Stack Engineer

Location: Deerfield, FL

Work Type: Hybrid Model with min 2-3 days per week

The mission 

Brillio is standing up this team because AI has collapsed attacker timelines from weeks to hours. You’ll build the AI-native tooling that lets a small senior pod respond at machine speed, implementing work-focused security agents and the deterministic orchestration around them, wired into vulnerability-response stack (SIEM/SOAR/EDR, identity, vuln management, CMDB, ITSM). This is a hands-on-keyboard seat: you write production code, run agent fleets, and ship across the full SDLC. 

What you’ll actually do 

• Write production code. Repeatable work becomes compiled, testable binaries (Go-first); prompts drive persona behavior only. You build the tooling, not slideware about it. 

• Operate agent fleets. Take a decomposed backlog, fan out parallel streams on conflict-free work, and bring it back through review gates. 

• Build security in, not on. TDD test-writers ahead of coders, a dedicated validation stage (models hallucinate passing tests), persona judging against threat/security models, failures auto-looped as issues. Signed builds, SBOMs, and access control are table stakes. 

• Integrate natively. Azure + GitHub Copilot, build-what’s-missing in-stack. No third-party platforms, no AWS. 

• Run model-agnostic. Personas across Claude / Copilot / ChatGPT because they fail differently; disagreement is signal. Manage token and context economics as an engineering constraint — just-in-time context loading, per-task budgets, alerts. 

• Own your slice end to end. Design, develop, test, integrate, deploy, document, and KT — across the full SDLC. 

Must-have 

• Senior engineer who still ships daily — hands-on-keyboard delivery, no exceptions. 

• Deep Azure + GitHub Copilot delivery experience (primary stack, not a footnote). 

• Strong Go (or equivalent systems language) for deterministic, testable orchestration tooling. 

• Hands-on experience operating multi-agent / multi-model workflows in real delivery, not demos. 

• Security-native instincts — TDD discipline, secure SDLC, threat modeling; comfort in a vulnerability-response context. 

• Full-SDLC ownership of a work stream: design through deployment, docs, and knowledge transfer. 

Nice-to-have 

• SIEM / SOAR / EDR, identity, vuln-management, or CMDB / ITSM integration experience. 

• Eval-harness, red-team, or agent-guardrail work (blast-radius sandboxing, reversibility, confidence thresholds, audit trails).