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Urgent! Lead Software Engineer (Artificial Intelligence) Job Opening In Singapore, Singapore – Now Hiring Confidential

Lead Software Engineer (Artificial Intelligence)



Job description

Key Responsibilities
Generative AI Engineering
Design and build LLM-powered applications (retrieval-augmented generation, multi-agent systems, generative search, AI copilots).


Implement prompt engineering, fine-tuning, and evaluation frameworks for production-grade reliability.


Optimize AI inference at scale (latency, cost efficiency, guardrails).


Ensure responsible AI use (bias detection, explainability, data privacy).


Full Stack Development
Architect and deliver end-to-end features across frontend (React/Next.js), backend (Node.js/Python/Java), and cloud-native infrastructure.


Build secure APIs, data pipelines, and real-time services that power AI-driven user experiences.


DevSecOps & Shift-Left Practices
Embed security and testing early in the development lifecycle.


Own CI/CD pipelines with automated testing, vulnerability scanning, and compliance guardrails.


Implement Infrastructure as Code (IaC) and observability for resilience and scalability.


Leadership & Collaboration
Mentor engineers on AI software engineering best practices.


Collaborate with product managers and data scientists to translate business problems into AI-first solutions.


Drive technical decision-making, balancing innovation speed with long-term system sustainability.


Qualifications
Must-Have: 7+ years of professional software engineering experience, with 2+ years in a senior/lead role.


Strong full stack development skills (React/Next.js, Node.js, Python, Java, etc.).


Proven experience delivering Generative AI applications into production, including:
LLM integration (OpenAI, Anthropic, Llama, etc.)
RAG pipelines (vector databases, embeddings, semantic search)
Fine-tuning and evaluation of models
Safety/guardrail implementation
Solid knowledge of DevSecOps and shift-left practices (automated testing, SAST/DAST, IaC, CI/CD).


Hands-on experience with cloud-native platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes) and infrastructure provisioning.


Strong foundation in software architecture and distributed systems.


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Required Skill Profession

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