Gen AI Lead, Full stack

About the job

A public firm is looking for an experienced GenAI Lead (Full Stack) to join their team.

Your new company

As a GenAI Lead (Full Stack), you will lead technical development of scalable enterprise applications, integrating generative AI for innovative, robust, and future-ready platform solutions.

Your new role

• Architect and develop AI-powered applications, integrating generative features and ensuring performance, scalability, and cost efficiency.

• Lead teams in building secure, compliant AI systems, implementing governance frameworks and ethical development standards.

• Manage full application lifecycle, applying agile and MLOps practices to deliver efficient, high-impact AI solutions.

• Drive innovation through technical roadmaps, emerging AI research, and strategic model monitoring and versioning approaches.

• Collaborate with stakeholders to translate business needs into technical solutions, ensuring successful cross-functional project delivery.

What you need

• Bachelor’s degree in Computer Science or related field; AI/ML certifications are a strong advantage.

• 5-7 years in application development & AI integration, with 2+ years in hands-on generative AI implementation.

• Skilled in LLMs, prompt engineering, RAG, vector databases, fine-tuning, and AI model deployment.

• Proficient in Python, system design, cloud platforms (AWS/GCP/Azure), and containerization technologies.

• Proven team leadership, AI governance, ethical development, agile methodologies, and stakeholder communication.

• Experienced in multimodal AI, model evaluation, infrastructure scaling, and AI safety and testing practices.

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

• Hybrid and stable 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