AI Lead Developer, AI Products

Job Description

Job Responsibilities

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

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 IndependentlyCommunicationAgentic AIGoogle Cloud PlatformSoftware EngineeringCreativityCross Functional SkillsData AnalysisData ScienceDecision MakingDeep LearningDocker SoftwareDomain KnowledgeExcellent Communication SkillsInterpersonal SkillsKubernetesLarge Language ModelMachine LearningModel ValidationModel TrainingMultidisciplinaryOperational EfficiencyProduct ManagementProduct Requirements DocumentRetrieval Augmented GenerationRepresentational State TransferRegulatory ComplianceRisk MitigationScaled Agile FrameworkSelf MotivationSite Reliability EngineeringTeam PlayerInformation Technology ConsultingTroubleshootingUse CaseVectorDBTeamwork