Salary :
Activate JobCopilot
Primary Skills
- 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
Specialization
- ML Engineering: AI/ML Engineer
Job requirements
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).
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