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
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.
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.
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).
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
Must-have
Nice-to-have
Skills Required
- Senior engineer who ships daily (hands-on-keyboard)
- Deep Azure and GitHub Copilot delivery experience
- Strong Go or equivalent systems language
- Hands-on experience operating multi-agent / multi-model workflows in real delivery
- Security-native instincts: TDD discipline, secure SDLC, threat modeling, vulnerability-response context
- Full-SDLC ownership of a work stream (design through deployment, docs, knowledge transfer)
- Kubernetes
- Kibana
- Model monitoring and model provisioning
- Cloud computing (Azure primary)
- Python / PySpark
- SAS / SPSS
- Great Expectations
- Evidently AI
- Deployment strategies: A/B, Blue-Green, Canary
- Kubeflow
- BentoML
- ML frameworks: TensorFlow, PyTorch, scikit-learn, CNTK, Keras, MXNet
- R / R Studio
- Experience integrating with SIEM / SOAR / EDR, identity, vuln-management, or CMDB / ITSM
- Experience with eval-harness, red-team, or agent-guardrail work (sandboxing, reversibility, audit trails)
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
