Senior AI Engineer

itcan pte. limited; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

itcan pte. limited in Singapore seeks a hands-on AI/Software Engineer to build end-to-end workflows, integrate AI with enterprise systems via APIs, and work with architects and engineers to design scalable solutions.

You will enhance user interfaces, monitor production AI KPIs, and apply security best practices while advancing R&D in AI advancements. A strong Python/TypeScript background and cloud experience are essential.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data, AI/ML or related field.
• 3–5 years of proven experience building and deploying software and AI solutions with agentic AI awareness.
• Proficient in Python and TypeScript/Node.js, SQL, and API development.
• Hands-on with LangChain, LangGraph or similar AI frameworks; skilled in LLM orchestration.

Responsibilities

• Build end-to-end workflows using AI, software and automation solutions.
• Develop and maintain AI solution integrations with enterprise systems via APIs and MCP.
• Collaborate with architects and engineers to define approaches and ensure robust system integration.
• Create usable UIs and enhance UX; monitor production AI solutions and KPIs.
• Design hybrid backend/frontend solutions with LLM prompting and RPA where appropriate.

Skills

Python

TypeScript/Node.js

SQL

LangChain

LangGraph

LLM integration

Prompt engineering

API development

OAuth2/JWT

Git (GitHub/GitLab/Bitbucket)

Cloud platforms (Azure/AWS/GCP)

R&D mindset

Cross-functional collaboration

Education

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

Tools

GitHub

GitLab

Bitbucket

RESTful API

gRPC

MCP

OAuth2

JWT

Azure

AWS

GCP

Job description

Make an Impact by:

• 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, 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 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 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
• 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.
• 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.