Software Engineer โ€“ AI & Platform (CIT8112026)

๐Ÿข Buddle ยท all Buddle jobs
๐Ÿ“ Philippines
๐Ÿ“… Posted 2026-08-14 ยท via Himalayas
๐Ÿท AI-Engineering,Software-Engineer,Cloud-Engineer,Platform-Engineering,Fullstack-Development,AI-Platform-Engineer,Platform-AI-Engineer,Developer
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About Us

Buddle was founded to address the growing demand for reliable and efficient staffing solutions across diverse industries globally. Our mission is to seamlessly connect businesses with skilled professionals, fostering long-term partnerships that benefit both parties. At Buddle , we prioritise trust, value, and sustainability in every staffing solution we provide.
About the Role

We are looking for a highly capable, self-driven, and technically versatile Software Engineer to join our client's growing technology team.

This role combines software engineering, AI and agent development, cloud infrastructure, production support, and system observability. You will work across the technology stack to build and maintain AI-powered applications, internal platforms, and automated workflows while supporting the reliability and performance of production systems.

The ideal candidate is comfortable working across different technical areas, can troubleshoot and respond to production issues, and is able to work independently in a fully remote environment with minimal supervision.

If you enjoy solving complex technical problems, learning new technologies, and building reliable and scalable systems, we'd love to hear from you!

Key Responsibilities
AI & Agent Development

- Design, develop, maintain, and improve AI-powered applications, autonomous agents, and workflow automation.

- Build and maintain systems that generate content strategies and dispatch tasks into AI/agent workflows.

- Work with LLM orchestration, prompt engineering, agent frameworks, and human-in-the-loop patterns.

- Develop reliable workflows that integrate AI capabilities with internal systems and third-party platforms.

- Evaluate and improve AI-generated outputs for accuracy, quality, reliability, and consistency.

- Explore and implement improvements to AI-powered workflows as the team's technology and business requirements evolve.

Software Engineering & Application Development

- Design, develop, test, deploy, and maintain software applications and internal engineering solutions.

- Develop integrations with internal and third-party platforms using APIs and other integration technologies.

- Work across Python and TypeScript codebases and contribute to system architecture and technical design.

- Write clean, maintainable, and reliable code following established engineering standards and practices.

- Identify opportunities to automate repetitive processes and improve engineering and operational efficiency.

- Collaborate with internal teams to understand requirements and translate business needs into effective technical solutions.

Cloud Infrastructure & DevOps

- Develop and maintain cloud infrastructure and application environments using AWS and Terraform.

- Work with AWS services including ECS, SQS, Aurora, S3, and CloudFront.

- Support infrastructure configuration, deployment, scaling, and operational maintenance.

- Develop and maintain infrastructure-as-code using Terraform.

- Assist with system configuration, security, credentials, and access management as required.

- Contribute to infrastructure improvements that enhance reliability, scalability, and operational efficiency.

Production Support & Incident Management

- Participate in the engineering on-call rotation and provide timely support for production incidents.

- Monitor and triage application and infrastructure alerts using tools such as Datadog and Sentry.

- Investigate and troubleshoot production issues, including database, payment, integration, synchronisation, and infrastructure-related incidents.

- Stabilise production systems during incidents, investigate root causes, and implement or recommend appropriate resolutions.

- Escalate complex issues when required while providing clear technical findings and relevant context.

- Contribute to incident response procedures, playbooks, and post-incident documentation.

- Identify recurring issues and implement improvements to re

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