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Senior Software Engineer, Artificial Intelligence, GEC Job Opening In Singapore, Singapore – Now Hiring St Engineering


Job description

Title: Senior Software Engineer, Artificial Intelligence, GEC

Job ID: 20038

Location: Elect – 100 Jurong East Street, SG

Description: The Company - ST Engineering Group Engineering Center

At ST Engineering, we apply our technology and innovation to solve real-world problems and improve lives.

Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust as a global technology, defence and engineering group.

Our diverse portfolio of businesses spans the aerospace, smart city, digital solutions, defence and public security segments.

As the Group Engineering Center, we aim to transform the use of technology across all of ST Engineering businesses.

Job Brief (Full-Time)

As a Senior Software Engineer, you will be responsible for designing, developing, and maintaining backend services that support RAG and LLM-based applications.

Our mission is to push the boundaries of what is possible in the realm of AI and to create transformative solutions that impact industries worldwide.

You will collaborate with cross-functional teams of engineers, researchers, and product managers to design, develop, and deploy innovative solutions that redefine the way our users engage with language-based technologies.

You will be expected to translate state-of-the-art techniques into working products and deploy them at scale.

Your technical leadership and deep domain knowledge will drive the evolution of our platform and contribute to our mission of revolutionizing the way people interact with machines.

Responsibilities:

  • Architect, develop, and maintain backend services for RAG and LLM applications, ensuring high performance and scalability.

  • Collaborate with research teams to implement and optimize cutting-edge algorithms for language understanding, generation, and manipulation.

  • Optimize and tune backend services for performance, scalability, and reliability.

  • Implement APIs and interfaces to connect backend services with front-end applications, databases, and external systems.

  • Develop and execute testing strategies to ensure robust and error-free software.

    Automate deployment processes using CI/CD pipelines.

  • Implement monitoring, logging, and alerting systems to ensure the health and performance of backend services.

  • Create comprehensive documentation for code, architecture, and operational procedures.

  • Participate in code reviews, design discussions, and contribute to the overall technical excellence of the engineering team.

  • Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and growth within the team.

Requirements:

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

    PhD is a plus.

  • Minimum of 3 years of experience in software engineering, with a focus on backend development.

  • Technical Skills
    • Strong experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).

    • Deep understanding of microservices architecture and RESTful API design.

    • Experience with databases and data storage solutions, such as SQL, NoSQL, vector databases, and caching systems.

      (e.g. PostgreSQL, MongoDB, Milvus, MinIO, Redis)
    • Strong programming skills in languages such as Python, Java, C++, or similar.

    • Solid grasp of software engineering principles, software design patterns, and architectural best practices.

    • Experience with designing and implementing real-time data processing, event-driven architectures using message queuing and publish-subscribe patterns.

      (e.g. Apache Kafka)
    • Proficiency in setting up, maintaining or using CI/CD pipelines using tools (e.g. Jenkins, GitLab CI/CD)
  • AI/ML Skills
    • Experience with machine learning frameworks (TensorFlow, PyTorch) and deploying models in production.

    • Knowledge of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) such as GPT-4, Llama, Mistral or similar.

  • Soft Skills:
    • Excellent problem-solving skills, attention to detail, and a passion for staying at the forefront of technological advancements.

    • Effective communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical stakeholders.

Working Perks & Professional Development

  • Great opportunity to get industry and enterprise experience.

  • Exposure to the full spectrum of product development.

  • Join a young and dynamic team with forward-looking working culture.

  • Lots of room to tinker and experiment.

#J-18808-Ljbffr

Required Skill Profession

Database, Analytics & Bi, Software Architecture & Engineering


  • Job Details

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Unlock Your Senior Software Potential: Insight & Career Growth Guide


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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 St Engineering 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

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Interview Tips for Senior Software Engineer, Artificial Intelligence, GEC Job Success

St Engineering interview tips for Senior Software Engineer, Artificial Intelligence, GEC

Here are some tips to help you prepare for and ace your Senior Software Engineer, Artificial Intelligence, GEC job interview:

Before the Interview:

Research: Learn about the St Engineering'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.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Software Engineer, Artificial Intelligence, GEC interview at St Engineering, 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 St Engineering'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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