What you will be working on
As an AI Engineer (Infrastructure Automation), you will contribute to the next generation of autonomous infrastructure by developing intelligent agents that execute real-world engineering tasks across Cloud, Networking, and Site Reliability Engineering (SRE) domains. Working closely with senior architects and engineering teams, you will apply AI and software engineering principles to solve complex systems problems — from automated environment provisioning to self-healing infrastructure.
In this role, you will:
- Develop and test AI agents by writing clean, modular code that interfaces with infrastructure APIs across platforms such as AWS, Azure, Kubernetes, and Terraform.
- Implement safety-first validation logic and security filters to ensure agents operate predictably, securely, and within defined boundaries.
- Build and maintain orchestration tooling for agents, including custom functions, API wrappers, and connectors that extend agent capabilities.
- Monitor agent performance, troubleshoot execution failures, and refine agent logic based on real-world operational feedback.
- Collaborate across SRE and Networking teams to understand pain points and translate them into practical automated agent workflows.
What we are looking for
We value the diverse talents and experiences that each individual brings to the table. While mastery of every requirement may not be necessary, familiarity and expertise in some of the following areas will position you for success within this team.
- Relevant experience in AI or software engineering, with a focus on automation, agent development, or infrastructure systems engineering.
- Proficiency in Python, including asynchronous programming and API integrations, with the ability to write clean and maintainable code.
- Experience in working with AI libraries and frameworks such as LangChain or LangGraph.
- Familiarity with at least one major cloud provider (AWS, GCP, or Azure) and working knowledge of containerisation tools such as Docker or Kubernetes.
- Knowledge of Infrastructure-as-Code tools such as Terraform or Ansible, as well as best practices in Git and CI/CD pipelines.
- Understanding of core networking concepts, including IP addressing, DNS, and firewalls.
- Knowledge of cybersecurity principles, including the least privilege principle, defensive coding practices, and exposure to Shift Left security approaches.
- Communicates effectively, both in writing and speaking, with the ability to explain technical logic clearly and document work thoroughly.
- Works independently and manages priorities effectively in a fast-paced engineering environment.
- Adaptable and resourceful in handling varied tasks and challenges, with the curiosity to navigate complex systems and understand their intricacies.
The seniority of appointment and actual corporate job title will commensurate with individual work experiences.
Position is on 2-year full time contract directly under the payroll of CPF Board with potential for emplacement into permanent position.