Lead AI/ML and Full Stack Engineer
Role details
Job location
Tech stack
Job description
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
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Write production code. Repeatable work becomes compiled, testable binaries (Go-first); prompts drive persona behavior only. You build the tooling, not slideware about it.
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Operate agent fleets. Take a decomposed backlog, fan out parallel streams on conflict-free work, and bring it back through review gates.
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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.
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Integrate natively. Azure + GitHub Copilot, build-what's-missing in-stack. No third-party platforms, no AWS.
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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.
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Own your slice end to end. Design, develop, test, integrate, deploy, document, and KT - across the full SDLC.
Requirements
- 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
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ML Engineering: AI/ML Engineer, * Senior engineer who still ships daily - hands-on-keyboard delivery, no exceptions.
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Deep Azure + GitHub Copilot delivery experience (primary stack, not a footnote).
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Strong Go (or equivalent systems language) for deterministic, testable orchestration tooling.
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Hands-on experience operating multi-agent / multi-model workflows in real delivery, not demos.
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Security-native instincts - TDD discipline, secure SDLC, threat modeling; comfort in a vulnerability-response context.
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Full-SDLC ownership of a work stream: design through deployment, docs, and knowledge transfer.
Nice-to-have
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SIEM / SOAR / EDR, identity, vuln-management, or CMDB / ITSM integration experience.
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Eval-harness, red-team, or agent-guardrail work (blast-radius sandboxing, reversibility, confidence thresholds, audit trails).