Lead AI Software Engineer with 7 year Experience
5 days ago
[1 year contract, renewable]
About the Role
We are seeking a Lead Software Engineer with deep expertise in full stack development, Generative AI, and DevSecOps practices. This is a hands-on leadership role at the forefront of building AI-native products that combine robust engineering with cutting-edge generative capabilities.
You will drive the architecture, development, and deployment of secure, scalable applications infused with AI — from LLM-powered experiences and intelligent agents to automated workflows and decisioning systems. Beyond technical execution, you will embed shift-left quality and security, mentor engineers, and set the direction for how Generative AI shapes our product strategy.
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 ), backend ), 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 , , Python, Java, etc.).
• Proven experience delivering Generative AI applications into production, including:
o LLM integration (OpenAI, Anthropic, Llama, etc.)
o RAG pipelines (vector databases, embeddings, semantic search)
o Fine-tuning and evaluation of models
o 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.
• Singapore citizenship due to security clearance requirements.
Nice-to-Have:
• Experience with multi-agent architectures or autonomous AI workflows.
• Familiarity with AI evaluation frameworks (LangSmith, Weights & Biases, MLflow).
• Contributions to open-source AI/ML or developer tooling.
• Startup or high-growth environment experience.
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