Full-Stack Developer (AMK)

Maestro Human Resource Pte Ltd; Singapore; In loco; SGD 180.000 - 260.000; Tempo pieno

Descrizione del lavoro

Maestro Human Resource Pte Ltd is seeking an experienced AI software engineer to maintain an AI-powered Chatbook app on AWS and design scalable AI solutions using LLMs, RAG, and agentic frameworks.

You will work with PMs, Solution Architects and business stakeholders to deliver production-grade applications and tool integrations, with a focus on observability, guardrails, and governance.

Competenze

• Experience building AI agents and multi‑agent systems with LangChain, LlamaIndex, LangGraph, AutoGen or CrewAI.
• Production-ready GenAI/agentic applications with guardrails and observability.
• Strong REST API, containerisation, orchestration and CI/CD fundamentals.
• Proficiency in Next.js/React, Python, TypeScript and Tailwind CSS.
• Experience with AWS services (Lambda, API Gateway, S3, CloudWatch, IAM) and Bedrock.

Mansioni

• Take over the Chatbook Application with structured knowledge transfer and documentation.
• Maintain, fix bugs, tune performance, and resolve incidents.
• Design and build end‑to‑end AI solutions using LLMs, RAG and agentic frameworks.
• Create MCP-based tool integrations and agentic pipelines for enterprise systems.
• Implement monitoring and observability for AI models and agentic behavior.
• Translate business needs into robust AI powered solutions.

Conoscenze

LangChain

LlamaIndex

LangGraph

AutoGen

CrewAI

LLMOps

Python

Next.js

TypeScript

REST API

Containerization

CI/CD

AWS

S3

CloudWatch

IAM

Strumenti

LangSmith

Descrizione del lavoro

About the role

Maintain and evolve an existing AI-powered application (Chatbook), ensuring stability, performance, and continuity of service. Design and build new AI solutions leveraging large language models, retrieval-augmented generation, and agentic frameworks. Work closely with Project Managers, Solution Architects, and business stakeholders to deliver production-grade AI applications on AWS.

Key responsibilities

• Take over the Chatbook Application through structured knowledge transfer, documenting existing architecture, codebase, and integrations
• Perform ongoing system maintenance including updates, bug fixes, performance tuning, and incident resolution
• Design and develop end-to-end AI solutions using LLMs, RAG architectures, and agentic frameworks
• Build MCP-based tool integrations and agentic pipelines for enterprise system connectivity
• Implement monitoring and observability for AI model performance and agentic behaviour
• Translate business and stakeholder requirements into robust, AI-powered solutions

About you

• Working experience building AI agents and multi-agent systems using frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI, with a strong understanding of agentic design patterns including planning, tool use, memory, and reflection
• Working experience with MCP-based tool integrations and maintaining GenAI and agentic applications in production environments, including guardrail implementation and application evaluation
• Knowledge of LLMOps practices, including prompt management, model evaluation, LLM observability tools (e.g. LangSmith), AI governance, and responsible AI principles
• Strong fundamentals encompassing clean code, design patterns, testing, REST API development, containerisation, container orchestration, and CI/CD pipelines
• Proficiency in Next.js / React, Python, TypeScript, and Tailwind CSS
• Proficiency in relational and NoSQL databases covering query optimisation, schema design, and data management, with familiarity with vector databases for RAG and semantic search
• Working experience with AWS cloud platform including serverless services (Lambda, API Gateway), storage (S3), monitoring (CloudWatch), and access management (IAM)
• Hands‑on experience with AWS Bedrock to access and orchestrate foundation models such as Anthropic Claude, including features such as Knowledge Bases, Agents, and Guardrails for production‑grade generative AI applications
• Experience developing and deploying applications on Government Commercial Cloud (GCC) is an advantage

5 day week @ AMK