Senior AI Engineer #AIDA
Singtel is hiring a Senior AI Engineer #AIDA in Singapore, Singapore. Level rates it ; you can apply on Singtel.
Level's read on this job
- Builds AI ●●●● is how Level rates this AI engineer role: the job is building AI systems.
- The posting mentions LangChain, prompt engineering and LLM integration among its tools and skills.
- Level classes it as a senior role.
- Singtel has 487 other open roles on Level.
- Posted in the last few days.
AI in this role
Powering the Future with AIDA
To lead the next phase of our AI evolution, we’ve launched a new business unit AIDA – Artificial Intelligence & Data Analytics – a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose. This marks a pivotal shift in how we operate, innovate, and serve to embed intelligence into every layer of our business.
At Singtel, this is more than a technology upgrade. It’s a strategic transformation that redefines how value is created across the enterprise core—augmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning people, platforms, and processes under one cohesive strategy. Our mission is to build AI literacy and foster a culture where intelligence empowers people.
We welcome you to join us on a transformational journey that’s reshaping the telecommunications industry — and redefining what’s possible with AI at its core. Grow with us in a workplace that champions innovation, embraces agility, and puts human potential at the heart of everything we do.
We are seeking a highly skilled AI Engineer to design, build, and scale AI and Agentic AI solutions that drive real business impact. You will collaborate closely with solution architects and Lead AI Engineers to translate requirements into robust AI-driven systems, ensuring solutions are secure, scalable, and production-ready.
This role requires a strong balance of applied AI development, full stack (front end/backend) software engineer, R&D curiosity, and operational ownership.
How you will make an impact:
- Build end-to-end AI Agentic applications using Agents SDK or equivalents, frontier Large Language Models, and node.js/python runtimes
- Develop and maintain integration of AI Agentic solutions with enterprise systems via MCPs, A2A, and related frameworks.
- Work with architects to understand requirements and define solution approaches, while partnering with software engineers for system integration.
- Enhance and maintain user interfaces for usability and continuous improvement across various Channels including Voice/Telephony, Web Messaging, Mobile Applications, and WhatsApp
- Design hybrid solutions combining backend, frontend, LLM, prompting, A2A for agentic integration, MCP, and human-in- the-loop workflows
- Maintain middleware components including SSO, authentication, and authorization mechanisms.
- Monitor production AI agents, track KPIs, and proactively resolve performance or reliability issues.
- Implement security best practices, establish fallback/backup strategies, and mitigate potential risks in AI solutions.
- Maintain and enhance existing solution with right and relevant AI capabilities across Enterprise, Consumer, IT, Networks and Corporate Functions domain.
- Support and optimize the marketplace recommender system, ensuring updated offers and business rules are integrated smoothly.
- Monitor, troubleshoot, and improve production pipelines, backend and frontend application and AI services for reliability, performance, and scalability.
- Stay up to date with the latest advancements in Agentic AI and conduct applied research to enrich internal capabilities.
- Apply software engineering standards, including modular code design, reproducibility, and rigorous testing.
- Faced new problems which does not exist a tested approach and requires some level of R&D
- Balancing between process and approval management vs project timelines
Skills for Success:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data, AI/ML, or related field.
- 5 years of proven experience developing and deploying software and AI solutions, with exposure to agentic AI frameworks.
- Proficient in Python, and/or TypeScript/nodejs, or functional languages
- Hands-on experience with Agents SDK, LangChain, or similar AI frameworks.
- Good knowledge in LLM integration and orchestration.
- Knowledge in prompt engineering.
- Experience with system integration - RESTful, gRPC, MCP a plus.
- Knowledge of middleware systems, including SSO and access control (OAuth2, JWT, etc.).
- Familiar with version control (GitHub, GitLab, Bitbucket).
- Exposure to cloud platforms (Azure, AWS, GCP preferred).
- Passion for applied R&D, staying ahead of AI advancements, and bringing innovative ideas into production.
- Strong problem-solving ability, attention to detail, and ability to collaborate effectively across teams.
- Comfortable working in a cross-functional team (Software/AI engineers, data platform, business users).
- Experience in building secure, enterprise-grade integrations.
Are you ready to say hello to BIG Possibilities?
Join Singtel to shape what's next and accelerate your career through meaningful work, continuous learning, and real impact.
How we rate this
Senior AI Engineer #AIDA at Singtel rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $183k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How have you integrated a large language model into a production application?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What's a project where you used LangChain hands-on?
- How would you decide a model or AI system is ready to ship?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, LLM Integration, AI agents, and LangChain. 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.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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