Senior AI Platform Engineer

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Company Overview
This leading financial services and insurance organization is building an Agentic AI Platform to deliver next-generation intelligence across the enterprise. Its platform enables autonomous task execution, reasoning-based workflows, tool-calling, retrieval-augmented capabilities, multi-agent ecosystems, and safety-governed automation. The company fosters a culture of innovation, collaboration, and enterprise-grade security, aiming to expand AI capabilities across Asia markets.

Job Title: Senior AI Platform Engineer
Location: Singapore
Employment Type: Full Time

Job Description
Position Responsibilities:

1. Agentic AI Platform Architecture & Core Services
   • Build platform components powering agent planning, reasoning, orchestration, tool-calling, and multi-step task execution.
   • Implement shared runtimes for multi-agent coordination, state management, memory persistence, and messaging.
   • Design interoperable APIs/SDKs used by data scientists and developers to build agent-powered applications.
2. Retrieval, Memory & Knowledge Integration
   • Develop standardized retrieval frameworks (search, embeddings, knowledge connectors) for safe access to enterprise knowledge.
   • Build and optimize short-term, long-term, and episodic memory abstractions for agent workflows.
   • Integrate structured and unstructured data sources through unified connectors and retrieval bridges.
3. Tooling, Connectors & Ecosystem Enablement
   • Build tool interfaces that allow agents to invoke enterprise systems, APIs, databases, and automations.
   • Create reusable patterns for function/tool definitions, schema validation, safe execution, rate limiting, and auditability.
   • Collaborate with regional business teams to onboard Asia-specific systems and workflows into the global agent ecosystem.
4. Agent Safety, Governance & Observability
   • Implement enterprise-grade guardrails: content filtering, hallucination mitigation, safe-action constraints, and policy-driven approvals.
   • Build observability for agent workflows: traces, reasoning logs, action sequences, feedback loops, and performance metrics.
   • Provide mechanisms for feedback, oversight, and ongoing evaluation of agent behavior.
5. Cloud, Infrastructure & Distributed Systems
   • Develop and operate scalable backend services supporting high-traffic agent interactions, retrieval operations, and real-time execution flows.
   • Use cloud-native technologies (containers, orchestration, IaC, CI/CD) to deliver reliable, cost-efficient services.
   • Optimize runtime performance across CPU/GPU/accelerator workloads.
6. Developer Experience & Collaboration
   • Build templates, scaffolding, and CLI tools to enable quick development of agent-powered applications.
   • Partner with global engineering, security, and AI governance teams to localize the platform for Asia’s regulatory and data-residency needs.
   • Mentor data science teams on agentic design patterns and platform capabilities.

Required Qualifications:
• Above 5 years’ experience in backend, platform, or cloud systems engineering.
• Proficiency in Python and Java/Scala/TypeScript or similar languages for building backend services and automation.
• Understanding of LLM systems, retrieval architectures, embeddings, vector stores, and prompt/tool orchestration fundamentals.
• Hands-on experience with cloud-native development: Kubernetes, containers, CI/CD.
• Strong grasp of API design, asynchronous workflows, concurrency, and system reliability.
• Familiarity with security, governance, and compliance concepts related to AI or data systems.
• Ability to collaborate across global teams and translate business problems into platform capabilities.
• Bonus points for experience with agent frameworks, multi-agent systems, task decomposition, reasoning chains, knowledge graphs, semantic search, hybrid retrieval, guardrail frameworks, complex workflow systems, or enterprise AI in regulated environments.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
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