Senior Agentic AI Platform & Deployment Engineer

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.