Senior AI Engineer- #AIDA

Singtel; Singapore; On-site; Confidential; Full time

Job summary

Singtel is seeking a highly skilled AI Engineer in Singapore to design and build AI solutions that drive business impact. This role requires collaboration with solution architects to translate requirements into robust systems. Candidates should possess a Bachelor’s or Master’s in a relevant field, and 3-5 years of experience in software and AI development. Proficiency in Python, TypeScript, and experience with AI frameworks like LangChain is essential. A passion for innovation and teamwork is highly valued.

Qualifications

• 3-5 years of experience developing and deploying software and AI solutions.
• Hands-on experience with AI frameworks like LangChain or LangGraph.
• Good knowledge of LLM integration and orchestration.

Responsibilities

• Build end-to-end workflows using AI and automation solutions.
• Enhance and maintain user interfaces for usability and improvement.
• Monitor production AI solutions and resolve performance issues.

Skills

Python

TypeScript/nodejs

SQL

LangChain

API development and integration

Cloud platforms (Azure, AWS, GCP)

R&D

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data, AI/ML

Tools

Middleware systems

Version control (GitHub, GitLab, Bitbucket)

Job description

Job Summary

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 software engineering, R&D curiosity, and operational ownership.

Responsibilities

• Build end‑to‑end workflows using AI, software and automation solutions
• Develop and maintain integration of AI solutions with enterprise systems via APIs, MCP, 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.
• Design hybrid solutions combining backend, frontend, LLM, prompting, and potentially RPA for human‑in‑the‑loop workflows.
• Maintain middleware components including SSO, authentication, and authorization mechanisms.
• Monitor production AI solutions, 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 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 AI/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
• Balance between process and approval management vs project timelines

Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data, AI/ML, or related field.
• 3-5 years of proven experience developing and deploying software and AI solutions, with exposure to agentic AI frameworks.
• Proficient in Python, and TypeScript/nodejs, SQL, etc.
• Hands‑on experience with LangChain, LangGraph, or similar AI frameworks.
• Good knowledge in LLM integration and orchestration.
• Knowledge in prompt engineering.
• Experience with API development and 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.