AI Engineer (GenAI, LLM, RAG)

About the job

Our client is looking for an experienced AI Engineer to join their team.

Your new company

You will be working with a company in consumer sector.

Your new role

As an AI Engineer, you will be responsible for:

• From model selection and fine‑tuning to production deployment and integration with enterprise systems.
• Including scalable microservices, containerized deployments, and best‑practice enterprise code standards.
• Covering data preparation, ETL processes, validation, and scalable processing across diverse data sources.
• Ensuring security, compliance, compatibility with legacy systems, and managing full model lifecycle.
• Using tools like Gradio, Streamlit, or custom interfaces to create functional demos.
• Exploring emerging GenAI technologies, benchmarking models, and solving novel business problems.

What you’ll need to succeed

• Bachelor’s/Master’s in CS, Data Science, AI/ML, or equivalent practical experience, certifications, or strong portfolio work.
• Strong Python skills and modern development best practices.
• Hands‑on work with LLMs, RAG systems, and generative AI applications.
• Proven experience building and deploying production AI/ML systems.
• Skilled in API development, microservices, and cloud platforms.
• Experience with ETL processes and enterprise data systems.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Stable and hybrid working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email [email protected]. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D