AI Engineer

Astek; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

Astek is seeking a hands-on AI Engineer in Singapore to design, build, and operationalize AI-enabled applications and automation for enterprise use cases. The role blends cybersecurity, data platforms, and AI innovation to deliver secure, scalable and production-ready solutions.

You will develop AI-enabled applications and orchestrations, integrate models with APIs and data pipelines, and apply robust testing, monitoring, and handover practices.

Qualifications

• Degree in Computer Science or Information Technology or related field.
• Strong software development experience, especially in Python.
• Hands-on experience building LLM applications, agents, retrieval solutions, or orchestration workflows.
• Experience with APIs, data integration, and cloud development (AWS preferred).
• Working knowledge of DevOps/CI/CD practices and containerization.
• Agile, fast learner with excellent communication and stakeholder collaboration.

Responsabilités

• Develop AI-enabled applications, agents, workflows, and automation for enterprise use cases.
• Translate operational challenges into testable prototypes and production solutions.
• Integrate AI models with enterprise systems, APIs, data pipelines, and cloud services.
• Establish testing, evaluation, documentation, monitoring, and operational handover practices.
• Apply appropriate safeguards: security, access control, human oversight, and failure handling.

Connaissances

Python

LLM apps

APIs & data integration

AWS

DevOps/CI/CD

Agile

Communication

Formation

Bachelor's degree in Computer Science/Information Technology or related field

Outils

Python

Description du poste

We’re looking for a hands‑on AI Engineer to design, build, and operationalize AI‑enabled applications and automation solutions. This role sits at the intersection of cybersecurity, data platforms, and AI innovation, helping teams turn complex operational challenges into secure, scalable, and production‑ready solutions.

• Develop AI‑enabled applications, agents, workflows, and automation for enterprise use cases.
• Translate operational challenges into testable prototypes and production solutions.
• Integrate AI models with enterprise systems, APIs, data pipelines, and cloud services.
• Establish testing, evaluation, documentation, monitoring, and operational handover practices.
• Apply appropriate safeguards: security, access control, human oversight, and failure handling.
• Degree in Computer Science/Information Technology or related field.
• Strong software development experience, especially in Python and modern frameworks.
• Hands‑on experience building LLM applications, agents, retrieval solutions, or orchestration workflows.
• Experience with APIs, data integration, and cloud development (AWS preferred).
• Working knowledge of DevOps/CI/CD practices: automated testing, version control, containerization, deployment pipelines, diagnostics.
• Strong analytical, problem‑solving, and stakeholder collaboration skills.
• Agile, fast learner, with excellent communication skills.

Good‑to‑Have Skills (any of the following)

• Cybersecurity: vulnerability management, threat intelligence, incident response, detection engineering, red/blue teaming.