AI Engineer

BEYONDSOFT TECHNOLOGY (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

BEYONDSOFT TECHNOLOGY (SINGAPORE) PTE. LTD. seeks an experienced AI software engineer to design and build enterprise-grade Generative AI and Agentic AI applications.

You will create AI agents, agent skills/tools, and multi-agent workflows, implement RAG pipelines, and secure enterprise integrations via MCP, REST APIs, and custom functions. You will develop production software in Python/Typescript, leverage AWS Bedrock and OpenSearch, ensure robust guardrails and security, and contribute to CI/CD

Qualifications

• Minimum 5 years of related experience in enterprise software/AI.
• Experience delivering production AI solutions in enterprise environments.

Responsibilities

• Design and develop enterprise Generative AI and Agentic AI applications using LLMs.
• Build AI agents, agent skills/tools, and multi-agent orchestration workflows.
• Design and implement RAG solutions, including document ingestion, embeddings, vector search, hybrid search, and re-ranking.
• Develop secure integrations with enterprise applications using MCP, REST APIs, and custom functions.
• Develop production-quality software primarily using Python, Typescript and modern software engineering practices.
• Develop AI solutions using Amazon Bedrock, Bedrock AgentCore, OpenSearch, Lambda, API Gateway, and other AWS services.
• Implement AI guardrails, authentication, authorization, identity propagation, and secure access controls.
• Build automated evaluation capabilities for response quality, retrieval accuracy, hallucination, routing, and guardrail effectiveness.
• Implement monitoring and observability for AI applications, including logs, metrics, traces, latency, token usage, and failures.
• Develop and maintain CI/CD and Infrastructure as Code using technologies such as GitHub Actions and Terraform.
• Troubleshoot complex AI, application, integration, authentication, networking, and cloud infrastructure issues.
• Collaborate with engineering, security, product, and business teams to identify and implement AI-driven automation opportunities.
• Document architectures, development standards, operational procedures, and technical solutions.

Skills

Python

Typescript

Software engineering

AI solutions

LLMs

Agentic AI

RAG architectures

CI/CD

Education

Bachelor's degree

Master's degree

Equivalent experience

Tools

Amazon Bedrock

Bedrock AgentCore

OpenSearch

Terraform

CloudFormation

Docker

Kubernetes

GitHub Actions

Job description

Key Responsibilities

• Design and develop enterprise Generative AI and Agentic AI applications using LLMs.


• Build AI agents, agent skills/tools, and multi-agent orchestration workflows .


• Design and implement RAG solutions , including document ingestion, embeddings, vector search, hybrid search, and re-ranking.


• Develop secure integrations with enterprise applications using MCP, REST APIs, and custom functions .


• Develop production-quality software primarily using Python, Typescript and modern software engineering practices.


• Develop AI solutions using Amazon Bedrock, Bedrock AgentCore, OpenSearch, Lambda, API Gateway, and other AWS services .


• Implement AI guardrails, authentication, authorization, identity propagation, and secure access controls .


• Build automated evaluation capabilities for response quality, retrieval accuracy, hallucination, routing, and guardrail effectiveness.


• Implement monitoring and observability for AI applications, including logs, metrics, traces, latency, token usage, and failures.


• Develop and maintain CI/CD and Infrastructure as Code using technologies such as GitHub Actions and Terraform .


• Troubleshoot complex AI, application, integration, authentication, networking, and cloud infrastructure issues.


• Collaborate with engineering, security, product, and business teams to identify and implement AI-driven automation opportunities.


• Document architectures, development standards, operational procedures, and technical solutions.

Position Requirements

• Strong programming skills, particularly Python , Typescript with good software engineering and coding practices.


• Hands-on experience building enterprise AI solutions using LLMs, Generative AI, Agentic AI, and RAG architectures .


• Experience developing AI agents, tool/function calling, multi-agent workflows, and agent orchestration .


• Experience with Amazon Bedrock, Bedrock AgentCore, or equivalent enterprise AI platforms .


• Knowledge of MCP, REST APIs, and enterprise application integration patterns .


• Experience with vector databases/search technologies such as Amazon OpenSearch .


• Understanding of prompt engineering, embeddings, context management, grounding, re-ranking, and hallucination mitigation.


• Experience implementing AI evaluation, guardrails, responsible AI, and security controls .


• Strong understanding of authentication and authorization technologies including OAuth 2.0, OIDC, JWT, and IAM .


• Experience with AWS or other public cloud platforms.


• Experience with Docker and container platforms such as Kubernetes, ECS, EKS, or Fargate.


• Experience with Infrastructure as Code and automation tools such as Terraform or CloudFormation .


• Experience with CI/CD, Git, and automated testing.


• Strong troubleshooting, problem-solving, communication, and collaboration skills.


• Ability to quickly learn and apply emerging AI technologies.

Preferred Experience/Skillsets

• Experience building production-grade enterprise Agentic AI platforms .


• Experience developing MCP servers/clients and agent-to-agent integrations .


• Experience integrating AI solutions with enterprise platforms such as ServiceNow, Jira, Confluence, GitHub, or Microsoft 365 .


• Experience with AI observability using CloudWatch, Grafana, OpenTelemetry , or similar technologies.


• Experience with enterprise identity providers such as Okta .


• Experience designing secure AI applications with least-privilege access, guardrails, auditability, and human-in-the-loop controls .


• Familiarity with AI-assisted software development tools and workflows.

Education & Experience

Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years with a Master's degree , or equivalent experience.

Experience delivering production software, cloud, or AI solutions in an enterprise environment is preferred.