x
Get our mobile app
Fast & easy access to Jobstore
Use App
Congratulations!
You just received a job recommendation!
check it out now
Browse Jobs
Companies
Campus Hiring
Download App
Jobs in Singapore   »   Jobs in Singapore   »   Engineering Job   »   Senior AI Engineer
 banner picture 1  banner picture 2  banner picture 3

Senior AI Engineer

Hays Specialist Recruitment Pte. Ltd.

Hays Specialist Recruitment Pte. Ltd. company logo

A leading technology organisation is seeking a Senior AI Engineer AWS/ GCP Cold with 2-4 years of hands-on experience in AI solution development, particularly in AI solution design, development and deployment.


Your new role

Your new role as a Senior AI Engineer, you will be responsible for:


Key Responsibilities:

  • Write efficient and maintainable code following best practices in software engineering.
  • Working with DevSecOps tools for deploying and versioning code.
  • Conduct thorough research and analysis of retrieval techniques, language models, and generative AI methodologies.
  • Collaborate with data engineers to ensure data pipeline efficiency and accuracy.
  • Continuously iterate and refine retrieval augmented generation (RAG) methods and processes based on experimentation, analysis, and feedback. This will include embedding, chunking, loading, and search algorithm setup.
  • Experiment with different retrieval strategies, including information retrieval, nearest-neighbor searches, or knowledge graph-based retrievals, to augment generative AI models.
  • Algorithm Optimization - Optimize and fine-tune AI models for performance, scalability, and accuracy.
  • Work closely with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver AI-driven solutions.
  • Present findings and insights to stakeholders and contribute to strategic decision-making.
  • Document AI models, algorithms, and processes thoroughly.
  • Prepare technical reports and presentations to communicate results and methodologies.
  • Stay up to date with the latest advancements in AI and machine learning technologies.
  • Participate in Agile ceremonies with the team to execute on prioritized projects and features.
  • Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems.

Education:

  • Candidates are evaluated case-by-case but appreciate qualifications in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Computer Science, Data Science, Analytics, Physics, and Bioinformatics.

What you'll need to succeed

  • 2-5 years of experience in AI Engineering.
  • Strong programming skills in Python.
  • Familiar in building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, database, and other necessary tooling.
  • Familiar with CI/CD and test-driven development
  • Experience in building Restful APIs for AI models.
  • Familiar with of machine learning concepts (i.e. neural networks, optimization algorithms, evaluation metrics).
  • Familiar with Retrieval Augmented Generation (RAG) techniques
  • Familiarity with prompt engineering techniques, such as instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.
  • Strong communication and collaboration skills.
  • Must be analytical, detail-oriented, and able to manage multiple projects simultaneously.

Preferred:

  • Experience working in an Agile Methodology.
  • Additional programing languages such as Node.js / TypeScript, C#, or Java
  • Demonstrated experience in developing and refining prompts for generative AI models, preferably in creative or text generation domains.
  • Experience with AWS Cloud.
  • Experience with building, deploying, and managing docker images.

What you'll get in return
In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email [email protected] for a confidential discussion on your career. Referrals are welcome.
If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.
EA Reg Number: R1988154
EA License Number: 07C3924 | Company Registration No: 200609504D

Sharing is Caring

Know others who would be interested in this job?