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Open nowPosted today

AI Engineer

MyCareersFuture94,660 open roles

Pay
SGD 8,000 – SGD 12,000 a month
Where
Singapore
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Your applicationOpen nowAI EngineerMyCareersFuture · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 3 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.5%3 days
  3. 8.0%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 3 days open

The posting

Summary:

· The successful candidate is expected to build and operationalize AI, automation and data solutions that improve cybersecurity analytics, decision-making and operational response.

· The person will work with cybersecurity specialists and technology teams to turn business needs into secure, reliable and scalable solutions.

Key Responsibilities:

· Develop AI-enabled applications, agents, workflows and automation for cybersecurity use cases.

· Translate operational challenges into testable use cases, 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 security, access control, human oversight and failure-handling safeguards.

Skills:

· Strong software development experience, particularly in Python and modern application frameworks.

· Hands-on experience inbuilding Large Language Model (LLM) applications, agents, retrieval solutions or multi-step orchestration workflows.

· Experience with APIs, data integration, cloud development (preferably AWS).

· Working knowledge of DevOps or CI/CD practices, including automated testing, version control, secrets management, containerization, deployment pipelines, and production diagnostics.

· Strong analytical, problem-solving and stakeholder collaboration skills.

· Possess positive learning and collaborative mindset.

· Good written and verbal communication skills.

· Agile, fast learner and able to adapt to changes.

Good to have:

Experience in one or more of the following areas is advantageous. Candidates are not expected to cover all three groups.

1. Cybersecurity

  • Security operations (SecOps), such as vulnerability management, threat intelligence, incident response or detection engineering.
  • Red and blue teaming, including testing A systems for misuse and failure modes.
  • Enterprise identity, network, proxy, governance or data access controls.

2. Data and platforms

  • Data engineering or data lake house platforms, such as Databricks.
  • Open Cybersecurity Schema Framework (OCSF), security data normalization or cross-source event correlation.
  • Full-stack product development and UI/UX.

3. AI evaluation and serving

  • LLM evaluation, benchmarking, model selection or finetuning.
  • Model serving, inference optimization, GPU infrastructure or local model deployment.
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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on MyCareersFuture's form

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  4. Every reply, sorted

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  5. Reply with AI

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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3×

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