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Open nowPosted 16 days ago

Senior Agentic AI Platform & Deployment Engineer

MyCareersFuture94,028 open roles

Pay
SGD 4,000 – SGD 8,000 a month
Where
Singapore
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Your applicationOpen nowSenior Agentic AI Platform & Deployment EngineerMyCareersFuture · Singapore
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This job: posted 16 days ago

The posting

Location: Singapore, hybrid or remote

Employment type: Full-time

Reporting to: Founders

Salary: Competitive

About Nestria AI

Nestria AI builds high-assurance Agentic AI solutions for product security, engineering validation and regulatory readiness. Our technology helps organisations automate complex technical workflows while producing reliable, traceable and expert-reviewable outputs.

Our solutions are designed for enterprise environments, including private and customer-managed deployments.

The Role

We are looking for a senior, hands-on engineer who can independently lead complex Agentic AI deployments from technical discovery through implementation, validation and customer handover.

You will serve as a senior technical owner across customer projects, working closely with the founders while providing continuity of technical leadership across concurrent deployments. Projects may span AI-enabled security assurance, secure product development, regulatory readiness and other advanced enterprise applications.

This is a broad startup role combining solution architecture, applied AI, platform deployment and customer-facing technical leadership.

Key Responsibilities

  • Lead customer deployments from requirements discovery and architecture design through implementation, testing and handover.
  • Translate technical, security and business requirements into practical Agentic AI workflows and delivery plans.
  • Design and implement multi-agent systems incorporating orchestration, retrieval, tool use, structured context, human review and evidence generation.
  • Lead technical discussions with customer security, infrastructure and engineering teams.
  • Own technical planning, dependencies, risk identification, delivery milestones and engineering quality.
  • Develop and deploy AI-enabled cybersecurity and assurance workflows across product and engineering environments.
  • Apply sound cybersecurity and secure-system principles to solution design, testing and deployment.
  • Ensure that system outputs are reliable, reproducible and suitable for expert review.
  • Deploy and operate solutions across cloud, on-premise and restricted environments.
  • Establish reliable practices for containerisation, model serving, access management, logging, monitoring, upgrades and recovery.
  • Review code and architecture, troubleshoot complex issues and mentor junior engineers.
  • Convert project-specific work into reusable platform components and deployment patterns.
  • Represent Nestria confidently in customer workshops, technical demonstrations and project reviews.

Required Experience

  • Approximately 6+ years of experience across one or more of software engineering, AI/ML systems, platform engineering or technical solution delivery, or equivalent experience leading complex technical implementations.
  • Strong hands-on programming skills, preferably in Python, with experience building production-quality systems and integrations.
  • Practical experience building or deploying LLM-powered applications, agentic workflows, retrieval systems or AI automation platforms.
  • Experience independently leading technically complex customer projects.
  • Strong understanding of system architecture, APIs, containers, Linux environments, networking, authentication and secure deployment.
  • Experience deploying applications in cloud and customer-managed environments.
  • Working knowledge of cybersecurity and secure-engineering principles, with the ability to apply them to system design, testing and deployment.
  • Ability to convert ambiguous requirements into an executable technical plan and communicate technical trade-offs clearly.
  • Strong software-engineering practices covering testing, code review, version control, documentation and release management.
  • Strong written and verbal communication skills, including the ability to work directly with enterprise engineering and security teams.

Preferred Qualifications

  • Background in product security, firmware, embedded systems, cryptography or hardware security.
  • Experience in the semiconductor, hardware-product, safety-critical or critical-infrastructure sectors.
  • Strong understanding of core cybersecurity concepts, secure-system design, threat analysis and vulnerability assessment.
  • Experience applying AI or automation to security, assurance or complex engineering workflows.
  • Familiarity with cybersecurity standards, product-security obligations or regulatory-readiness frameworks.
  • Experience working with private, customer-managed or restricted computing environments.

What Success Looks Like

Within the first six months, you should be able to:

  • Independently lead a customer deployment and act as its primary technical owner.
  • Understand Nestria’s core architecture and safely make implementation and deployment decisions.
  • Establish repeatable deployment, testing, monitoring and release practices.
  • Strengthen at least one AI-enabled security or assurance workflow from prototype to customer-ready implementation.
  • Reduce founder dependency for routine architecture, delivery and troubleshooting decisions.
  • Guide other engineers while maintaining technical quality across projects.

What We Offer

The opportunity to take meaningful ownership of advanced Agentic AI applications, work on real-world cybersecurity and engineering challenges, and help shape the technical foundations of an early-stage Singapore deep-tech company.

The role offers substantial autonomy, close collaboration with an experienced founding team and exposure across applied AI, cybersecurity, product development and enterprise deployment.

Note: The responsibilities described above are indicative. Scope and priorities may evolve based on customer projects, market requirements and developments in AI and security technologies.

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