Full Stack Developer (AI-Enabled)

PhillipCapital; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Symphony Digital Assets, part of the PhillipCapital family, seeks an experienced Full Stack Developer to design, architect, and develop web applications and APIs for a digital asset platform. You will work as an AI-enabled engineer, using AI coding assistants and building features with large language models.

You will contribute across integration projects with identity verification, crypto exchanges, banking and payment interfaces, and global user management.

Qualifications

• 2+ years of professional software development experience.
• Hands-on experience with LLMs, RAG architectures, agentic design patterns, and deploying generative AI applications.
• Familiarity with building AI agents or multi-agent systems using frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.
• Familiarity with MCP integrations, AI guardrails, application evaluation, and LLM Ops practices.
• Understanding of prompt engineering, model evaluation, AI observability tools (e.g. LangSmith), and responsible AI.
• Proficient in Java Spring Boot, with strong experience working in a distributed environment.
• Experience with Kubernetes, and CI/CD pipelines using ArgoCD and GitLab.
• Experience with AWS services like Lambda, Fargate, API Gateway, and IAM.
• Experience with server-side frameworks such as Spring Boot.
• A strong eye for system architecture and design, with a track record of delivering complex systems.
• Good communication and coordination skills, with experience mentoring other developers.

Responsibilities

• Design, develop, and deploy end-to-end AI applications using LLMs, RAG, and agentic frameworks.
• Build MCP-based tool integrations and agentic workflows to connect AI solutions with enterprise systems and processes.
• Translate business requirements into scalable, AI-powered solutions with robust backend and frontend design.
• Develop and integrate APIs, application logic, and user-facing features for AI-driven use cases.
• Implement monitoring, observability, and evaluation mechanisms for AI models, prompts, and agent behaviour.
• Use AI coding assistants to help design, write, review, and debug code, while ensuring quality and correctness.
• Lead the design and architecture of technical solutions, mentor junior developers, and collaborate with cross-functional teams.
• Keep up with relevant technical and industry developments.

Skills

LLM/AI systems

RAG architectures

Agentic design patterns

Prompt engineering

AI observability

System architecture

Team mentoring

Communication

Tools

LangChain

LlamaIndex

LangGraph

AutoGen

CrewAI

MCP

LangSmith

Docker

Kubernetes

ArgoCD

GitLab

AWS Lambda

AWS Fargate

API Gateway

IAM

Spring Boot

Job description

Symphony Digital Assets is a platform for digital assets under the PhillipCapital family. Current projects include the tokenisation of securities and real-world assets, the exploration of use cases and solutions built on various blockchains, and the use of AI to improve how we build software.

Description

As an experienced Full Stack Developer, you will design, architect, and develop web applications and APIs that enhance the functionality and integration capabilities of a digital asset platform. You will also work as an AI-enabled engineer — using AI coding assistants in your daily work, and building product features that make use of large language models. This role requires a mix of technical depth, good judgement in applying AI, and the collaborative skills to work across different technical layers and teams.

Projects you'll work on

• Integration with a global identity verification, fraud prevention, and compliance provider.
• Integrations with various crypto exchanges and liquidity providers.
• Banking and payment integrations, including SWIFT, Virtual Accounts, PayNow, and Demand Deposit Accounts.
• Global user account management.
• A ledger to track P&L and holdings.

Responsibilities

• Design, develop, and deploy end-to-end AI applications using LLMs, RAG, and agentic frameworks.
• Build MCP-based tool integrations and agentic workflows to connect AI solutions with enterprise systems and processes.
• Translate business requirements into scalable, AI-powered solutions with robust backend and frontend design.
• Develop and integrate APIs, application logic, and user-facing features for AI-driven use cases.
• Implement monitoring, observability, and evaluation mechanisms for AI models, prompts, and agent behaviour.
• Use AI coding assistants (e.g. Claude, GitLab Duo) to help design, write, review, and debug code, while remaining responsible for quality and correctness.
• Lead the design and architecture of technical solutions, mentor junior developers, and collaborate with cross-functional teams.
• Keep up with relevant technical and industry developments.

Requirements

• 2+ years of professional software development experience.
• Hands-on experience with LLMs, RAG architectures, agentic design patterns, and deploying generative AI applications.
• Familiarity with building AI agents or multi-agent systems using frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.
• Familiarity with MCP integrations, AI guardrails, application evaluation, and LLM Ops practices.
• Understanding of prompt engineering, model evaluation, AI observability tools (e.g. LangSmith), and responsible AI.
• Proficient in Java Spring Boot, with strong experience working in a distributed environment.
• Experience with Kubernetes, and CI/CD pipelines using ArgoCD and GitLab.
• Experience with AWS services like Lambda, Fargate, API Gateway, and IAM.
• Experience with server-side frameworks such as Spring Boot.
• A strong eye for system architecture and design, with a track record of delivering complex systems.
• Good communication and coordination skills, with experience mentoring other developers.

It's great if you have one or more of the following:

• Experience with AWS Bedrock, including foundation models, Knowledge Bases, Agents, and Guardrails.
• Familiarity with vector databases and semantic search for RAG applications.
• Experience integrating LLM APIs (e.g. Anthropic Claude, OpenAI) into applications, including prompt design and structured outputs.
• Familiarity with agentic patterns, RAG pipelines, vector stores, or the Model Context Protocol (MCP).
• Cloud services like RDS, RabbitMQ, API Gateway and DynamoDB.
• Containerisation and Git workflows (e.g. Docker).