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Senior Lead AIML and Full Stack Engineer R

Brillio


Job Location:

Miami, FL - USA

Monthly Salary: Not provided by the employer
Posted: 28 June 2026 (30+ days ago)
Application Deadline: 25 September 2026
Vacancies: 1 Vacancy

Job Summary

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital renowned for its world-class professionals referred to as Brillians distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary groundbreaking technologies and exclusive digital projects. Brillios relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year.

Senior Lead AI/ML and Full Stack Engineer
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. Youll 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.

Whatyoullactually do

  • Writeproductioncode.Repeatable work becomes compiled testable binaries (Go-first); promptsdrivepersona 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-whats-missing in-stack. No third-party platforms no AWS.

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

  • Own yoursliceend 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 equivalentsystemslanguage) for deterministic testable orchestration tooling.

  • Hands-on experienceoperatingmulti-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).

$140 - $145 a year
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We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Senior IC


About Company

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Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.

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