Senior Full Stack Software Engineer

activate interactive pte ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Outpatient medical coverage

Life and health insurance

Flexi benefits and allowances

Wellness initiatives

Job summary

Activate Interactive Pte Ltd in Singapore seeks an experienced AI Platform Engineer to design, build, and operate a centralized AI foundation platform. You will manage Bedrock-based services, develop full-stack components, and ensure scalable, secure AI deployments across divisions.

You’ll collaborate with DevSecOps, Solution Architects and product teams to deliver end-to-end AI solutions with strong governance.

Qualifications

• Degree or Diploma in Computer Science, Computer Engineering, Information Technology or related disciplines
• At least 5 years of relevant experience in full stack development, cloud or AI platform engineering
• At least 2 years of practical experience with AI/ML or generative AI technologies
• Hands-on experience with AWS services, including Amazon Bedrock, SageMaker, Lambda, API Gateway, S3, OpenSearch, IAM, VPC, CloudWatch and KMS
• Strong programming skills in Python and JavaScript/TypeScript, with RESTful APIs and frontends such as React/Angular
• Experience building RAG pipelines, embeddings and vector databases, and integrating LLM APIs/SDKs with enterprise systems
• Proficiency in Infrastructure-as-Code tools such as Terraform, AWS CDK or CloudFormation
• Experience with CI/CD pipelines and DevOps toolchains (GitLab, JIRA, BitBucket, Confluence)
• Knowledge of Docker and Kubernetes
• Understanding of cloud security, IAM and data protection controls
• Ability to troubleshoot complex issues across system resources and app stacks
• Comfortable with Agile methodologies and working with product teams
• Hands-on experience building agentic AI systems (tool calling, multi-agent orchestration) with Bedrock Agents or similar
• Knowledge of IM8 Government ICT/SS management policies, SSP requirements and observability practices
• Experience with Government Cloud (GCC) and government security requirements
• AWS certifications such as Solutions Architect, ML Specialty or Generative AI Developer
• Experience with LLM orchestration frameworks like LangChain, LlamaIndex or Bedrock Agents
• Experience implementing AI solutions in the public sector or regulated environments

Responsibilities

• Build, manage and monitor the centralised AI Foundation Platform (Amazon Bedrock) for multi-modal data extraction, understanding and generation
• Maintain AI infrastructure including model access, provisioning, quotas, API integrations and service configurations
• Design and develop full-stack platform services (backend APIs, middleware and admin/self-service portals) for consistent AI capabilities
• Integrate the AI platform with enterprise data sources and applications (RAG, knowledge bases, vector stores)
• Support model customisation (fine-tuning, prompt management, knowledge bases) and contribute to the MinLaw domain ontology
• Optimise platform performance, latency, throughput and cost; ensure scalability, availability and reliability of AI services
• Monitor Bedrock consumption and costs against budget; propose optimisation measures
• Design secure AI infrastructure aligned with Enterprise Architecture and security policies (IAM, encryption, secrets)
• Develop Infrastructure-as-Code and CI/CD pipelines for provisioning and deployment
• Build reusable platform components leveraged across divisions
• Deploy and manage monitoring tools for AI service performance and health
• Troubleshoot platform issues across infra and app layers; participate in on-call escalations
• Collaborate with DevSecOps Engineers, Solution Architects and teams to deliver end-to-end solutions
• Review source code as part of SDLC; produce technical documentation and runbooks
• Prepare architecture/security submissions for ARB and security reviews of AI platform changes
• Set up and operate agentic AI infrastructure (Bedrock Agents/AgentCore), tool gateways, agent memory and environments
• Build shared agentic AI modules (agents, tools, connectors) consumed by CAMP case-management apps
• Provide agents with identity and least-privilege access; manage secrets and tool registry
• Set usage limits for agents (tokens, rate, spend) and implement guardrails with the AI MLOps Engineer
• Instrument agents and platforms with tracing, metrics and logs; define SLIs/SLOs and alerts
• Onboard additional case management workflows to the agentic AI platform with guides and implementations
• Provide technical inputs for SSP/IM8 compliance and guardrails for AI infrastructure

Job description

Activate Interactive Pte Ltd ("Activate") is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people's lives, then we would love to hear from you.

What will you do?

• Build, manage and monitor the centralised AI Foundation Platform (currently on Amazon Bedrock), providing secure access to foundation models for multi-modal data extraction, understanding and generation
• Maintain the AI infrastructure, including model access, provisioning, quotas, API integrations and service configurations across use cases
• Design and develop full-stack platform services, including backend APIs, middleware and admin or self-service portals, that let application teams consume AI capabilities consistently
• Integrate the AI platform with enterprise data sources and applications so AI outputs are context-aware, including Retrieval-Augmented Generation (RAG) pipelines, knowledge bases and vector stores
• Support model customisation (e.g. fine-tuning, prompt management, knowledge bases) and contribute to building the MinLaw domain ontology that guides AI applications
• Optimise platform performance, latency, throughput and cost, and ensure the scalability, availability and reliability of AI services
• Monitor and report Amazon Bedrock consumption and cost against budget, and recommend optimisation measures (e.g. model selection, prompt caching, provisioned throughput)
• Design and implement secure AI infrastructure aligned with the Agency's Enterprise Architecture and Government ICT security policies, including IAM, network isolation, encryption and secrets management
• Develop Infrastructure-as-Code and CI/CD pipelines to automate provisioning, deployment and release of AI platform components
• Build shared, reusable platform components so common AI capabilities are built once and used many times across divisions
• Deploy and manage monitoring tools for AI service performance, utilisation and health
• Troubleshoot and resolve platform issues across infrastructure and application layers, and take part in on-call escalations
• Work with DevSecOps Engineers, Solution Architect and application division system teams to deliver end-to-end solutions
• Review source code and solutions as part of the software development lifecycle process
• Produce and maintain technical documentation, runbooks and onboarding guides for application teams
• Prepare architecture and security submissions for the Architecture Review Board (ARB) and security reviews of AI platform changes
• Set up and operate the agentic AI infrastructure, including the agent runtime (e.g. Amazon Bedrock Agents / AgentCore), tool and API gateway, agent memory and state, and environments for development, testing and production
• Build and maintain the shared agentic AI modules (reusable agents, tools, connectors and orchestration patterns, including multi-agent workflows) that CAMP case management applications consume
• Provide each agent with its own identity and least-privilege access to tools and data, with network isolation, sandboxed tool execution, secrets management and a registry of approved agents and tools
• Set usage limits for agents (token, rate, step and spend quotas, timeouts) and an emergency stop (kill switch), working with the AI MLOps Engineer on guardrail enforcement
• Instrument agents and platform services with tracing, metrics and logs (e.g. OpenTelemetry, CloudWatch) covering model calls, tool calls and agent decisions, and define SLIs/SLOs and alerts for agentic AI services
• Onboard additional case management workflows and divisions to the agentic AI platform, with onboarding guides, reference implementations and capacity planning
• Provide technical inputs for the System Security Plan (SSP) and ICT&SS / IM8 compliance for agentic AI infrastructure.

What are we looking for?

• Degree or Diploma in Computer Science, Computer Engineering, Information Technology or related disciplines
• At least 5 years of relevant experience in full stack development, cloud or AI platform engineering, including at least 2 years of practical experience with AI/ML or generative AI technologies
• Hands-on experience in at least 2 full project development life cycles
• Hands-on experience with AWS services, in particular Amazon Bedrock, and related services such as SageMaker, Lambda, API Gateway, S3, OpenSearch, IAM, VPC, CloudWatch and KMS
• Strong programming skills in Python and JavaScript/TypeScript, with experience building RESTful APIs (e.g. FastAPI, Node.js) and web frontends (e.g. React, Angular)
• Experience building RAG pipelines, working with embeddings and vector databases, and integrating LLM APIs/SDKs with enterprise systems
• Proficiency in Infrastructure-as-Code tools such as Terraform, AWS CDK or CloudFormation
• Experience with CI/CD pipelines and DevOps toolsets such as GitLab, JIRA, BitBucket and Confluence
• Knowledge of container technologies such as Docker and Kubernetes
• Solid understanding of cloud security, identity and access management, and data protection controls
• Ability to troubleshoot complex issues, from system resources to application stack traces
• Comfortable with Agile methodologies and working closely with product development teams
• Results and customer oriented mindset
• Excellent communication skills, both oral and written, including documentation
• Hands-on experience building agentic AI systems (tool calling, multi-agent orchestration, agent memory) with frameworks such as Amazon Bedrock Agents, LangGraph or Strands Agents, and integrating tools via APIs or Model Context Protocol (MCP)
• Understanding of Government ICT&SS management policies (IM8), SSP requirements and observability practices, and has applied them to guardrails, access controls and monitoring of AI platforms
• Experience with Government Commercial Cloud (GCC) and familiarity with IM8 and government security requirements
• AWS certifications such as Solutions Architect, Machine Learning Specialty or Generative AI Developer
• Experience with LLM orchestration frameworks such as LangChain, LlamaIndex or Amazon Bedrock Agents
• Experience implementing AI solutions in the public sector, legal or regulated environments.

What do we offer in return?

Competitive Compensation:Market competitive salary and variable performance bonus aligned to your skills, impact, and contribution.

Benefits:Outpatient medical, specialist medical coverage and generouscustomisableflexi benefits, or flexi allowance; life and health insurance, thoughtfulperkslike special occasions "red packet" and CNY goodies, etc.

Employee Wellness:Support foryour physical, mental, and overall well-being through year-round initiatives.

Growth & Development:Learningprogrammes, certification support, and a dedicated staff development budget. (We are a "SHRI 2025 Gold winner" in