Principal AI Engineer

Role OverviewHands-on Principal AI Engineer focused on building and productionising agentic AI systems for cybersecurity.Core focus is AI engineering, not cybersecurity expertise.Build production-grade LLM, agentic AI, ML, automation and platform systems.Cyber domain expertise will be provided by security SMEs.Must have experience designing/operating reliable, observable, auditable, recoverable and supportable production systems.Core Technical ScopeAgentic AI architecture: planning, reasoning, tool use, task decomposition, memory, RAG, model routing and multi-agent workflows.Agentic AI harness & control plane:Autonomy levelsPolicy enforcementApproval workflowsAudit loggingRollbackKill switchesAction limitsAI-to-system integration with enterprise/cyber tools such as:SIEM / SOAREDR / NDRIAM / PAMCMDB / ITSMVulnerability scannersCloud security platformsCode repositories / CI/CDTicketing and knowledge platformsAPIs, connectors, webhooks, queues, MCP, service accounts, scoped credentials, session controls and rate limiting.Secure tool mediation and clear boundaries between read / recommend / draft / execute / escalate.AI Security & GovernanceAgent identity, authentication, authorisation and least-privilege access.JIT access, scoped credentials, secrets isolation and approval-bound permissions.Secure AI supply chain covering:PromptsTools/connectorsMCP serversPlugins/skillsPackages/containersModelsEvaluation datasetsRetrieval sourcesProvenance, allowlisting, signing, dependency scanning, sandboxing and change control.Controls against:Prompt injectionIndirect prompt injectionData leakageMemory poisoningTool manipulationMalicious documents/web contentExcessive agencyUnsafe autonomous behaviourData, Memory & KnowledgeBuild RAG, vector search, knowledge graphs, structured knowledge and case memory.Work with cyber data such as:Assets and identitiesVulnerabilitiesAlerts/incidentsThreat intelligenceControls/playbooksTicketsSource code/dependenciesInvestigation historyImplement evidence provenance, source trust, freshness and confidence controls.Agent DevelopmentBuild reusable agents/patterns for:Alert triageIncident investigationThreat intelligenceVulnerability analysisSecure code reviewDetection engineeringGRC/control testingRed-team supportRemediationExecutive reportingMove AI from POCs/demos → reusable, measurable production capabilities.Models & EvaluationEvaluate frontier and open-source LLMs.Benchmark:ReasoningCodingTool useCyber-task performanceHallucinationReliabilityLatencyCostContext handlingSafetyDesign model-agnostic architectures supporting model routing, fallback and graceful degradation.Build AI evaluation/test frameworks covering:AccuracyFalse positives/negativesHallucinationPrompt injectionData leakageUnsafe tool useMemory poisoningFailure recoveryReliabilitySimulation & TestingBuild controlled environments for:Historical incident replaySynthetic SOC casesVulnerable codeCloud attack pathsPhishing scenariosDetection engineeringGRC workflowsRed-team simulationsSupport authorised AI-assisted security testing such as code review, vulnerability discovery, exploitability validation and attack-path analysis.Production & LLMOpsDesign for:MonitoringLoggingAlertingRollbackRunbooksService ownershipAccess reviewsCost controlsOperational handoverImplement LLMOps / agent lifecycle management.Manage prompts, agents, tools, model versions, evaluations, telemetry, drift, releases and continuous improvement.Understand production failure modes: model drift, prompt regression, broken tool calls, API failures, retrieval issues, permission failures, latency, data quality and cost spikes.Must-Have ExperienceStrong hands-on production-grade LLM / Agentic AI / ML / automation / platform engineering.Strong knowledge of:Agent architectureOrchestrationTool callingMemoryRAGModel routingMulti-agent systemsExperience with frontier and/or open-source models and model evaluation.Strong software engineering:PythonAPIsBackend servicesCloudContainersCI/CDAuthenticationLoggingObservabilityEnterprise API and system integration experience.Prior production operations/support experience.Understanding of AI security risks and human-in-the-loop controls.Ability to design systems for operational handover and support.Disclaimer: The company is committed to ensuring theprivacy and security of your information. 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You havethe right to access, correct, or delete your data at any time by contacting usat Quess Singapore | A Leading Staffing Services Provider in Singapore(quesscorp.sg)“This is in partnership with the Employment andEmployability Institute Pte Ltd (“e2i”).e2i is the empowering network for workers andemployers seeking employment and employability solutions. e2i serves as abridge between workers and employers, connecting with workers to offer jobsecurity through job-matching, career guidance and skills upgrading services,and partnering employers to address their manpower needs through recruitment,training, and job redesign solutions. e2i is a tripartite initiative of theNational Trades Union Congress set up to support nation-wide manpower andskills upgrading initiatives. By applying for this role, you consentto Quesscorp Singapore’s PDPA and e2i’s PDPA.”