Lead Software Engineer | AI | Digitalisation

Full Description

Software Engineering Lead | Artificial Intelligence

• Working Hours: Mon-Fri (Hybrid)

• Location: Central

• Remuneration: Up to $14,000 + VB

We’re looking for a highly experienced and passionate Software Engineering Lead to lead the development of innovative AI-driven products and platforms. This is a senior technical leadership role with hands-on responsibilities across software engineering, quality assurance, and devsecops – managing both people and processes to bring cutting-edge ideas to life.

You will guide multidisciplinary engineering teams to build scalable, secure, and high-quality solutions that serve real-world needs. If you're excited about leading teams, building robust software solutions, and shaping AI product strategies — we want to hear from you.

Responsibilities

• Lead cross-functional teams of software engineers, QA specialists, AI/ML engineers, and devsecops professionals.

• Define engineering scope of work and oversee the full software development lifecycle from design to deployment.

• Make informed technical decisions, evaluating trade-offs between solution options to deliver impactful results.

• Implement and enhance software engineering best practices, frameworks, and workflows – including MLOps and DevSecOps.

• Drive continuous improvement in development, testing, security, and deployment pipelines.

• Collaborate with internal product managers and external partners to align engineering delivery with business outcomes.

• Mentor and grow team members, aligning their career development with the organisation’s needs and goals.

• Foster a culture of innovation, experimentation, and technical excellence across the engineering team.

• Stay on top of the latest trends in AI and software engineering and introduce technologies that enhance productivity and product quality.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field.

• 8+ years of relevant professional experience in software or systems engineering, with at least 6 years hands-on.

• 3+ years of experience building software products in Agile teams (e.g. Scrum).

• Proven experience managing and scaling engineering teams across multiple functions (AI/ML, QA, DevOps).

• Deep hands-on knowledge of Python, with experience in Bash and PowerShell scripting.

• Strong background in deploying AI/ML solutions with Docker, Kubernetes or Kubeflow.

• Experienced working with cloud platforms (AWS or Azure); bonus if familiar with secure or regulated cloud environments.

• Track record of delivering production-grade software that is secure, maintainable, and scalable.

• Strong communicator with the ability to articulate product vision and technical trade-offs to non-technical audiences.

• Analytical mindset with a drive for continuous improvement and a bias toward action.

• A genuine passion for building great products that deliver real user value.

• Exposure to AI/ML, data analytics or data platforms is a strong plus.

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Aloysius Tan Sheng Rong - R22110441

ScienTec Consulting Pte Ltd - 11C5781