Full stack Engineer #sn

Role Summary As a Full Stack Engineer (Agentic AI), you will be at the forefront of building cutting-edge AI-powered applications using modern technology stacks. This position involves working with multi-agent orchestration frameworks, LLM observability systems, Langfuse, Agno, MCP tools, and advanced retrieval & evaluation pipelines.You'll collaborate closely with AI product and platform teams to deliver high-quality, production-grade solutions that serve customers across the Asia-Pacific region. This role transcends traditional full-stack engineering by focusing on AI-native backend services, agentic workflows, guardrails, evaluation pipelines, and front-end interfaces that empower both customers and internal users. Employment Type: Full Time (open to fresh graduates and early-career engineers) Key Responsibilities Agentic AI & Backend Engineering Multi-Agent Systems: Build sophisticated multi-agent AI systems using frameworks such as Agno, Langchain, and LlamaIndex MCP Integration: Implement Model Context Protocol (MCP) tools for enhanced agentic capabilities API Development: Build and maintain robust APIs using Node.js/TypeScript, deployed on AWS infrastructure (Serverless, Lambda, ECS) LLM Integration: Integrate Large Language Models (OpenAI, Claude) into backend services with best practices for prompt engineering, safety protocols, and guardrails Quality Assurance: Implement LLM evaluations, automated regression testing, benchmarking, and quality scoring systems Data Management: Work with vector databases (Pinecone, Qdrant, Weaviate) and develop retrieval pipelines Observability: Build comprehensive observability integrations using Langfuse, including traces, spans, scoring, and analytics Frontend Engineering Modern UI Development: Create clean, intuitive user interfaces using React, Next.js, and TypeScript Dashboards: Build comprehensive dashboards for agentic workflows, analytics, observability, and internal tools Design Integration: Integrate UX workflows using Figma; experience with AI-assisted development through Cursor/Copilot is advantageous DevOps, Cloud & Infrastructure Microservices Deployment: Deploy and scale microservices on Cloud Run, AWS ECS, Kubernetes, and similar platforms CI/CD Pipeline Management: Build secure, scalable continuous integration and deployment pipelines using GitHub Actions Distributed Systems: Work extensively with APIs, Webhooks, Pub/Sub, EventBridge, and distributed system architectures Security: Implement comprehensive guardrails including LLM Guard, custom rule engines, and safety layers Collaboration & AI Culture Cross-Functional Teamwork: Collaborate effectively with Product, Operations, and Finance teams Innovation: Engage in brainstorming sessions, rapid prototyping, and hackathons Culture Building: Contribute to Asurion's AI-first engineering culture by adopting new tools and sharing best practices Required Qualifications Education: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Experience: 0–3 years of experience (Fresh graduates with strong AI projects are encouraged to apply) Technical Skills Core Programming: Strong proficiency in Node.js, TypeScript, React, and Next.js AI Systems: Hands-on experience building Agentic AI systems or LLM-based applications Orchestration Frameworks: Familiarity with Agno, LangChain, LangGraph, or similar orchestration frameworks Tools: Experience with Model Context Protocol (MCP) tools Observability: Strong understanding of LLM Observability systems (Langfuse preferred) AI Engineering: Experience with LLM evaluations, RAG patterns, prompt engineering, and guardrails API Development: Proficiency in REST and GraphQL API development Cloud Platforms: Practical experience with Amazon Web Services (AWS) Database Management: Experience with PostgreSQL, MongoDB, Redis, and vector databases DevOps Skills: Good grasp of CI/CD processes, testing frameworks, containerization (Docker), and GitHub workflows Vibe Coding: Ability to work effectively with Cursor, GitHub Copilot, or other AI-assisted development tools Soft Skills Leadership Qualities: Strong ownership, accountability, and problem-solving mindset Agile Methodology: Ability to thrive in fast-paced Agile team environments Continuous Learning: Passion for learning new technologies within the rapidly evolving AI If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call Shabnam at Hays on +65 60271964 or email [email protected] for a confidential discussion. Referrals are welcome. Registration ID No. R1873584 | EA License number: 07C3924 | Company Registration No. 200609504D