G60 - Full Stack Engineer

FPT Asia Pacific; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

FPT Asia Pacific is seeking a Software Developer with strong full stack experience to design, build, and deploy generative AI applications and agentic workflows that automate complex business processes and power intelligent user experiences.

You will design end-to-end GenAI applications, integrate LLMs and vector stores, implement RAG pipelines, and collaborate with product and data teams to ship reliable, secure AI features. Knowledge of CI/CD and observability is a plus.

Qualifications

• 3-5 years of professional software development experience with a strong full stack background.
• Proficiency in at least one modern backend stack (Node.js/TypeScript, Python, Java, or Go) and REST/gRPC API design.
• Experience with modern front-end frameworks (React, Vue, or Angular) and production-grade UIs.
• Hands-on experience integrating LLMs/GenAI APIs (OpenAI, Anthropic, Azure/GCP/AWS AI services, or open-source models).
• Familiarity with agent frameworks and orchestration libraries (LangChain, LlamaIndex, AutoGen, custom tool-calling frameworks).
• Experience with databases (SQL/NoSQL) and vector databases or embedding-based search.
• Solid understanding of software engineering best practices: testing, CI/CD, code reviews, and secure coding.

Responsibilities

• Design and implement end-to-end GenAI applications (chatbots, copilots, workflow assistants).
• Build agentic workflows that orchestrate multi-step tasks using LLMs, tools, APIs, and triggers.
• Develop and maintain backend services and APIs that integrate GenAI models, vector stores, and data sources.
• Implement retrieval-augmented generation (RAG) pipelines and tool-calling agents.
• Build responsive front-end interfaces for interacting with agents and monitoring workflows.
• Deploy, monitor, and optimize GenAI services in production with a focus on performance and security.
• Collaborate with product managers and ML engineers to translate requirements into GenAI solutions.

Skills

Full stack development

Backend services

Front-end frameworks

GenAI integration

LLM tooling

APIs and REST/gRPC

CI/CD

Security best practices

Tools

LangChain

LlamaIndex

AutoGen

Docker

Kubernetes

Job description

We are seeking a Software Developer with full stack experience to design, build, and deploy generative AI applications and agentic workflows that automate complex business processes and power intelligent user experiences.

Key Responsibilities

• Design and implement end-to-end GenAI applications (chatbots, copilots, workflow assistants) across web and backend services.
• Build agentic workflows that orchestrate multi-step tasks using LLMs, tools, APIs, and event-driven triggers.
• Develop and maintain backend services and APIs that integrate GenAI models, vector stores, and enterprise data sources.
• Implement retrieval-augmented generation (RAG) pipelines and tool-calling agents for knowledge and process automation.
• Build responsive front-end interfaces (web and/or internal consoles) for interacting with agents and monitoring workflows.
• Deploy, monitor, and optimize GenAI and agentic services in production (performance, reliability, cost, safety).
• Implement observability, logging, and evaluation frameworks for agent behavior, prompts, workflows, and user journeys.
• Collaborate with product managers, data/ML engineers, and domain experts to translate business requirements into GenAI-powered solutions.
• Ensure security, guardrails, and governance for AI features, including access control, PII handling, and safe outputs.
• Contribute to internal SDKs, templates, and reusable components to accelerate GenAI and agentic development across teams.

Required Experience & Skills

• 3-5 years of professional software development experience with a strong full stack background.
• Proficiency in at least one modern backend stack (e.g. Node.js/TypeScript, Python, Java, or Go) and REST/gRPC API design.
• Experience with modern front-end frameworks (e.g. React, Vue, or Angular) and building production-grade UIs.
• Hands-on experience integrating LLMs/GenAI APIs (e.g. OpenAI, Anthropic, Azure/GCP/AWS AI services, or open-source models).
• Familiarity with agent frameworks and orchestration libraries (e.g. LangChain, LlamaIndex, AutoGen, custom tool-calling frameworks).
• Experience with databases (SQL/NoSQL) and ideally vector databases or embedding-based search.
• Solid understanding of software engineering best practices: testing, CI/CD, code reviews, and secure coding.

Nice-to-Have

• Experience designing multi-agent systems, complex workflow graphs, or event-driven architectures.
• Exposure to RAG architectures, prompt engineering, and evaluation of LLM outputs.
• Experience with containers and cloud deployment (Docker, Kubernetes, serverless platforms).
• Background working with data/ML teams or on ML/LLM-backed products.