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Lead Software Engineer (AI, Artificial Intelligence) Job Opening In Singapore, Singapore – Now Hiring Confidential


Job description

Overview

We are seeking a Lead Software Engineer with deep expertise in full stack development , Generative AI , and DevSecOps practices .

This is a hands-on leadership role at the forefront of building AI-native products that combine robust engineering with cutting-edge generative capabilities.

You will drive the architecture, development, and deployment of secure, scalable applications infused with AI — from LLM-powered experiences and intelligent agents to automated workflows and decisioning systems .

Beyond technical execution, you will embed shift-left quality and security , mentor engineers, and set the direction for how Generative AI shapes our product strategy.

Key Responsibilities

  • Generative AI Engineering
    • Design and build LLM-powered applications (retrieval-augmented generation, multi-agent systems, generative search, AI copilots).

    • Implement prompt engineering, fine-tuning, and evaluation frameworks for production-grade reliability.

    • Optimize AI inference at scale (latency, cost efficiency, guardrails).

    • Ensure responsible AI use (bias detection, explainability, data privacy).

  • Full Stack Development
    • Architect and deliver end-to-end features across frontend (React/Next.js) , backend (Node.js/Python/Java) , and cloud-native infrastructure .

    • Build secure APIs, data pipelines, and real-time services that power AI-driven user experiences.

  • DevSecOps & Shift-Left Practices
    • Embed security and testing early in the development lifecycle.

    • Own CI/CD pipelines with automated testing, vulnerability scanning, and compliance guardrails.

    • Implement Infrastructure as Code (IaC) and observability for resilience and scalability.

  • Leadership & Collaboration
    • Mentor engineers on AI software engineering best practices.

    • Collaborate with product managers and data scientists to translate business problems into AI-first solutions .

    • Drive technical decision-making, balancing innovation speed with long-term system sustainability.

Qualifications

  • Must-Have:
  • 7+ years of professional software engineering experience
  • Strong full stack development skills (React/Next.js, Node.js, Python, Java, etc.)
  • Proven experience delivering Generative AI applications into production, including:
  • o LLM integration (OpenAI , Anthropic, Llama, etc.)
  • RAG pipelines (vector databases, embeddings, semantic search)
  • Fine-tuning and evaluation of models
  • Safety/guardrail implementation
  • Solid knowledge of DevSecOps and shift-left practices (automated testing, SAST/DAST, IaC, CI/CD).

  • Hands-on experience with cloud-native platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes) and infrastructure provisioning.

  • Strong foundation in software architecture and distributed systems .

  • Nice-to-Have:
  • Experience with multi-agent architectures or autonomous AI workflows.

  • Familiarity with AI evaluation frameworks (LangSmith, Weights & Biases, MLflow).

  • Contributions to open-source AI/ML or developer tooling.

  • Startup or high-growth environment experience.

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Required Skill Profession

Database, Analytics & Bi, Software Architecture & Engineering


  • Job Details

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Unlock Your Lead Software Potential: Insight & Career Growth Guide


Real-time Lead Software Jobs Trends (Graphical Representation)

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Are You Looking for Lead Software Engineer (AI, Artificial Intelligence) Job?

Great news! is currently hiring and seeking a Lead Software Engineer (AI, Artificial Intelligence) to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Confidential adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Lead Software Engineer (AI, Artificial Intelligence) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Lead Software Engineer (AI, Artificial Intelligence)?

Key qualifications for Lead Software Engineer (AI, Artificial Intelligence) typically include Database, Analytics & Bi, Software Architecture & Engineering and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead Software Engineer (AI, Artificial Intelligence) Job Success

Confidential interview tips for Lead Software Engineer (AI, Artificial Intelligence)

Here are some tips to help you prepare for and ace your Lead Software Engineer (AI, Artificial Intelligence) job interview:

Before the Interview:

Research: Learn about the Confidential's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Software Engineer (AI, Artificial Intelligence) interview at Confidential, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Confidential's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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