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Open nowPosted 2 days ago

Forward Deployed Engineer

MyCareersFuture94,028 open roles

Pay
SGD 5,000 – SGD 8,000 a month
Where
Central, Singapore
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Your applicationOpen nowForward Deployed EngineerMyCareersFuture · Central, 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

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.9%7 days
  4. 14.2%14 days
  5. 34.1%30 days
This job: posted 2 days ago

The posting

Join Us. Grow With Us. Shape What’s Next. We are looking for passionate, creative and forward-thinking engineer to join our new start up!

Main Responsibilities:

  • Architect and develop production AI / agentic systems optimized for business use cases, including agent infrastructure and integrations with client infrastructure
  • Manage AI product development roadmap
  • Rapid testing and evaluation of agentic systems, including reliability engineering, performance measurement and cost management
  • Continuously interface with clients to understand areas for transformation and co-design AI and security best practices

Required experience and qualifications:

  • BS or MS in Computer Science or closely-related field
  • 2 to 3+ years of relevant industry experience or equivalent
  • Direct experience shipping an AI or agentic AI system end-to-end to users, preferably owned or led the project
  • Excellent communication skills, particularly in communicating technical concepts in an approachable way to clients
  • Proficiency in Python
  • Strong production maturity and system design skills
  • Familiarity with agentic tooling and development, including Model Context Protocols (MCPs), agent skills, agent orchestration, Retrieval Augmented Generation (RAG), etc.
  • Experience designing evals, observability and monitoring for AI, plus debugging failure modes in production
  • Knowledge of enterprise security best practices to securely deploy AI and software
  • Proficiency in building data pipelines and API integrations
  • Familiarity with cloud platform (AWS (preferred)/Azure/GCP), infrastructure as code, containerization
  • Passion for experimenting with AI models, open-source repos, etc.
  • Knowledge of latest developments in AI capabilities and deployment strategies

Good to haves

  • Experience deploying AI in a specific vertical or business use case
  • Ability to identify and articulate business value from AI deployments — including ROI framing, process mapping, and stakeholder alignment
  • Familiarity with enterprise software ecosystems, including Oracle SAP, Microsoft, etc.
  • Proficiency in additional languages, such as TypeScript, SQL, Java, Go
  • Familiarity with data privacy practices for AI
  • Experience with on-device or on-prem data management or AI deployment.
  • Familiarity with ML frameworks such as PyTorch, TensorFlow, etc.
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    The review screen in CV Rocket: how each CV was read, round by round.

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