AI Engineer — Agentic Apps on Bedrock Stack

Jobster Private Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Jobster Private Ltd in Singapore seeks an AI Developer to build, test and deploy agentic AI applications on AWS using Bedrock. You will work with Bedrock components and agent frameworks to deliver secure, scalable AI solutions.

You will join the AI engineering team, writing production-quality code and collaborating with architects, product owners and security teams. This role emphasizes safety, cost, and reliability.

Qualifications

• 4+ years of software development experience with 1+ year in Generative AI / LLM apps.
• Hands-on experience building agentic AI solutions and multi-agent workflows.
• Experience with Amazon Bedrock (InvokeModel, Knowledge Bases, Agents) and Guardrails.
• Proficient in Python; TypeScript/Node.js a plus; comfortable with async code.
• Familiar with AWS services: Lambda, S3, API Gateway, IAM, CloudWatch, Docker.

Responsibilities

• Develop agentic AI applications and multi-agent workflows using Bedrock and agent frameworks.
• Integrate LLMs via Bedrock APIs with robust prompt engineering and tool calling.
• Build RAG pipelines with vector stores and knowledge bases.
• Configure Bedrock Guardrails and apply guardrails in flows.
• Deploy agents to Bedrock AgentCore and manage memory and identity.
• Ensure authentication and authorization for agents and tools.
• Instrument observability with CloudWatch and tracing for cost and performance.
• Write clean, tested code and participate in CI/CD pipelines.
• Troubleshoot and optimise agent performance, safety and cost.

Skills

Python

boto3

FastAPI

TypeScript

Node.js

LLM development

prompt engineering

multi-agent

AWS Bedrock

LangChain

CloudWatch

Education

Bachelor's in CS/Engineering

Tools

Bedrock SDK

Lambda

API Gateway

Strands Agents SDK

LangChain / LangGraph

OpenSearch

pgvector

Docker

CI/CD (GitHub Actions)

Job description

Jobster Private Ltd in Singapore seeks an AI Developer to build, test and deploy agentic AI applications on AWS using Bedrock. You will work with Bedrock components and agent frameworks to deliver secure, scalable AI solutions.

You will join the AI engineering team, writing production-quality code and collaborating with architects, product owners and security teams. This role emphasizes safety, cost, and reliability.