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Singtel

Senior Software Engineer (MCP)

Singtel is hiring a Senior Software Engineer (MCP) in Singapore, Singapore. Level rates it ; you can apply on Singtel.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
  • The posting mentions prompt engineering and RAG among its tools and skills.
  • Level classes it as a senior role.
  • Singtel has 496 other open roles on Level.

AI in this role

prompt-engineeringrag

An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say…“Hello BIG Possibilities”.

Be a Part of Something BIG! 

 

Singtel is transforming into an AI-driven digital technology enterprise, delivering scalable, secure, and intelligent solutions across customer, network, and enterprise domains. As part of this transformation, Singtel is strengthening its internal engineering leadership to design and govern enterprise-grade AI platforms and automation capabilities.

 

We are seeking a Senior Software Engineer to provide technical leadership across for new initatives. This role plays a critical part in shaping solution architecture, guiding delivery standards, and managing vendor and offshore engineering teams to ensure consistent, high-quality outcomes.

 

Make an Impact by:

 

AI and MCP agents   

  • Design and Develop the MCP agents, tools and architect the MCP governance to be consumed by business flows
  • Design and govern Retrieval-Augmented Generation (RAG) architectures, including data ingestion, indexing, retrieval pipelines, and response orchestration.
  • Provide technical direction for development of MCP tools and AI-enabled services delivered by internal, vendor, and offshore teams.
  • Ensure AI solutions are production-ready, scalable, observable, and aligned with Singtel’s enterprise architecture standards.

Technical Leadership & Architecture

  • Own end-to-end technical solution design and architecture decisions for AI and automation initiatives.
  • Establish engineering standards, design principles, and best practices across AI platforms and backend systems.
  • Review and approve detailed technical designs, code structure, and deployment approaches produced by vendors or offshore teams.
  • Evaluate emerging AI tools, platforms, and technologies, recommending adoption where there is clear business value and operational readiness.
  • Identify and manage technical risks, dependencies, and architectural trade-offs. Mentor junior and mid-level engineers, providing technical guidance and reviewing critical designs.

Vendor & Offshore Resource Management

  • Provide technical governance and oversight for vendors and offshore delivery teams, ensuring adherence to Singtel’s architecture, security, and quality standards.
  • Review vendor deliverables, validate designs, and ensure compliance with functional and non-functional requirements.
  • Guide task decomposition, estimation, and prioritisation to support effective offshore delivery.
  • Act as the technical escalation point for delivery issues, architectural deviations, or quality concerns involving external partners.
  • Support capability uplift of vendor and offshore teams through technical guidance, standards, and knowledge transfer.

Collaboration & Stakeholder Management

  • Work closely with product owners, enterprise architects, cybersecurity, data, and operations teams to align AI solutions with business objectives.
  • Communicate technical decisions, risks, and progress clearly to internal stakeholders and leadership.
  • Facilitate alignment across multiple delivery teams operating across time zones.

Operations, Security & Governance 

  • Ensure AI systems comply with Singtel’s cybersecurity, data governance, and regulatory requirements.
  • Guide operational readiness, monitoring, and support models for AI-enabled platforms.
  • Lead root-cause analysis and remediation for complex production issues affecting AI services.

 

 

Skills for Success: 

  • Bachelor’s Degree in Computer Science or Computer Engineering
  • At least 6 years of experience as software developer.
  • 2-4 years AI/ML development; Experience leading complex system design and architecture
  • Experience managing vendors or offshore teams
  • Experience designing and integrating AI/ML solutions into production systems;
  • Ability to evaluate feasibility, risk, and operational impact of AI solutions
  • Significant experience in prompt engineering and prompt design for LLMs and GenAI applications.
  • Expert-level proficiency in Python/Node.js/Go/Java;
  • Strong system design, API architecture, and distributed systems expertise;
  • Ability to conduct technical design and code reviewsStrong experience with AWS/GCP/Azure;
  • Proficiency with container platforms and deployment pipelines;
  • Operational readiness and observability experienceStrong understanding of secure coding, API security, identity/access management, and data governance
  • Strong leadership, communication, and stakeholder management skills;
  • Ability to influence vendors and offshore teams;
  • Strong decision-making and problem-solving 

Are you ready to say hello to BIG Possibilities?

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!

 

 

 

 

How we rate this

Senior Software Engineer (MCP) at Singtel rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAG

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering and RAG. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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