AI Lead Developer, AI Products

Codex Solutions; Singapore; On-site; SGD 150,000 - 190,000; Full time

Benefits offered by this job

Public sector projects

Supportive team culture

Career development

Cloud & DevSecOps tools

Job summary

Codex Solutions is seeking an experienced AI/ML Engineer to design, build, and deploy scalable AI solutions for public sector use cases in Singapore. You will work closely with software engineers to deliver production‑quality AI products powered by RAG, agentic AI, and multimodal techniques.

The role requires strong Python skills and hands‑on experience with Docker, Kubernetes, LangChain, and vector databases.

Qualifications

• Postgraduate/tertiary qualification in Computer Science, Computer Engineering, Data Science or related areas.
• Min. 6 years of software and AI engineering experience, including at least 3 years deploying production AI apps.
• Strong proficiency in Python with extensive experience developing production-quality software.
• Hands-on experience designing, developing, deploying and maintaining production AI/ML solutions.
• Experience with LangChain / LangGraph and open models such as Llama 4 and GPT OSS.
• Experience deploying AI apps using Docker and Kubernetes, with REST APIs.
• Experience with vector databases and model serving frameworks.
• Able to communicate complex technical concepts clearly to stakeholders.

Responsibilities

• Design, develop, integrate and optimise scalable AI/ML solutions for Home Team use cases.
• Handle data pre-processing, engineering and annotation for model training and development.
• Deploy AI products powered by AI/ML, RAG and agentic AI on Cloud Platform (GCC) or on-prem.
• Design and implement model evaluation, monitoring and performance optimisation.
• Develop and deploy risk mitigation measures and guardrails to meet regulatory standards.
• Collaborate with Product Management to translate product requirements into ML model specs.
• Provide technical advisory and review related technical articles to support decision making.
• Troubleshoot production AI issues and improve system reliability.

Skills

Python

Production AI

Docker

Kubernetes

LangChain

LangGraph

VectorDB

GCP

Model deployment

AI engineering

Education

CS/CE/Data Science

Tools

Docker

Kubernetes

LangChain

LangGraph

REST APIs

VectorDB

Job description

Job Description

• Design, develop, integrate and optimise scalable AI/ML solutions, including LLM-based applications, Retrieval-Augmented Generation (RAG), agentic AI and multimodal AI solutions to address Home Team use cases.
• Handle data pre-processing, engineering and annotation for model training and development.
• Work closely with the software engineers to write production-quality code and deploy AI products powered by AI/ML, RAG and agentic AI for use by Home Team on Cloud Platform (GCC) or on-prem infrastructure.
• Design and implement model evaluation, monitoring and optimise performance of in-house developed AI solutions through pre-training and post-training techniques.
• Optimise model inference performance and resource utilisation.
• Develop and deploy risk mitigation measures such as guardrails to ensure safe and responsible use of AI products, aligning with organisational standards and regulatory requirements.
• Work closely with Product Management team to translate product requirements into machine learning / deep learning model requirements.
• Provide technical advisory and review related technical articles to support key business decision and project decision making.
• Troubleshoot complex production AI issues and implement improvements to enhance system reliability and operational performance.
• Keep abreast of new AI technologies development and continuously improve HTxAI’s AI engineering capability.
• Learn and share knowledge in a multi-disciplinary team both internally and externally.

Job Requirements

• Postgraduate / Tertiary qualification in any of the following fields: Computer Science, Computer Engineering, Data Science, Data Analytics, Machine Learning, or any relevant areas.
• Min. 6 years of software engineering and AI engineering experience, including at least 3 years developing and deploying production AI applications.
• Strong proficiency in Python with extensive experience developing production-quality software.
• Strong hands‑on experience designing, developing, deploying and maintaining production AI/ML solutions.
• Strong experience with open-source AI frameworks such as LangChain / LangGraph, and open models such as Llama 4 and GPT OSS.
• Extensive experience in building scalable AI applications and deploy applications using Docker containers with REST APIs.
• Experience deploying AI application using Kubernetes.
• Experience with vector databases and model serving frameworks.
• Able to work collaboratively with cross-functional teams multi-disciplinary / multi-agencies teams.
• Able to communicate technical concepts and conduct demos in a clear and effective manner to stakeholders of varying technical backgrounds.
• Knowledge of emerging AI-related technologies and trends.
• Self‑motivated, team player, creative with excellent communication skills, excellent interpersonal skills and ability to work independently.
• Having domain knowledge in Homeland Security sector will be an added advantage.

What We Offer

• Opportunity to work on meaningful public sector digital initiatives.
• A supportive, purpose-driven team culture.
• Structured career development and technical upskilling.
• Access to modern tools, cloud technologies, and secure DevSecOps environments.

Additional Information

• Shortlisted applicants may be involved in classified or sensitive projects that require handling of restricted information. As such, selected candidates will be required to undergo a security clearance process as part of the employment consideration.

Skills

• Work Independently
• Communication
• Agentic AI
• Google Cloud Platform
• Software Engineering
• Creativity
• Cross Functional Skills
• Data Analysis
• Data Science
• Decision Making
• Deep Learning
• Docker Software
• Domain Knowledge
• Excellent Communication Skills
• Interpersonal Skills
• Kubernetes
• Large Language Model
• Machine Learning
• Model Validation
• Model Training
• Multidisciplinary
• Operational Efficiency
• Product Management
• Product Requirements Document
• Retrieval Augmented Generation
• Representational State Transfer
• Regulatory Compliance
• Risk Mitigation
• Scaled Agile Framework
• Self Motivation
• Site Reliability Engineering
• Team Player
• Information Technology Consulting
• Troubleshooting
• Use Case
• VectorDB
• Teamwork