Job title: Lead Software Engineer (LLM focus / AI product)

Job Description

We are seeking a Lead Software Engineer to lead the development of AI-driven products and solutions. This role requires a strong technical leader to oversee a team of Software Engineers, QA Engineers, and AI Engineers, ensuring alignment with business needs and delivering impactful solutions. You will play a pivotal role in making technical decisions, integrating best practices, and collaborating with both internal and external stakeholders.

  • Working Hours: Mon-Fri
  • Working Location: One North
  • Salary Package: Up to $15,000 (basic) + AWS 

Key Responsibilities:

  • Lead the software engineering, quality assurance, and DevSecOps functions within the product teams.

  • Define the engineering scope, oversee development, and ensure the successful delivery of software products.

  • Make strategic technical decisions, balancing trade-offs and mitigating risks.

  • Integrate DevSecOps, MLOps, and quality assurance frameworks into software development.

  • Continuously improve engineering processes to enhance software reliability and maintainability.

  • Guide engineers in developing high-quality, scalable AI-driven applications.

  • Manage team resources, performance, and professional development.

  • Foster a culture of innovation, continuous learning, and experimentation.

  • Stay up to date with LLM, AI, and software engineering trends to refine internal workflows.

Qualifications & Experience:

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

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

  • 3+ years of experience in Agile development (e.g., Scrum).

  • 3+ years of experience in designing, developing, deploying, and monitoring machine learning (ML) and deep learning (DL) solutions using Docker, Kubernetes, or Kubeflow.

  • 3+ years of experience working with cloud platforms (AWS or Azure); experience with Government Commercial Cloud (GCC) is a plus.

  • Proficiency in Python, with experience in Bash and PowerShell scripting on Linux.

  • Proven experience managing engineering teams, including AI engineers, software engineers, QA engineers, and DevOps engineers.

  • Good to have: AI/ML, Data Science, Data Analytics expertise.

  • Strong analytical and prioritization skills, with the ability to make data-driven decisions.

  • Excellent communication skills, able to articulate technical concepts to non-technical stakeholders.

  • Ability to adapt to changes and pivot strategies based on business and customer needs.

Why Join Us?

  • Be at the forefront of cutting-edge LLM and AI technologies.

  • Lead a high-performing engineering team in a collaborative and innovative environment.

  • Competitive salary and career growth opportunities.

If you're passionate about AI, software engineering, and leading high-impact teams, we’d love to hear from you!

Apply now to be part of this exciting journey!

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Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

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