Lead Software Engineer

2 weeks ago

Singapur, Singapore JOBSTER PRIVATE LTD. Full time

Overview 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 (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 Strong full stack development skills (React/Next.js, Node.js, Python, Java, etc.) Proven experience delivering Generative AI applications into production, including: o 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 . 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. #J-18808-Ljbffr

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