Generative AI Engineer

Responsibilities:

• Design, develop, and optimise Python-based AI/ML applications.
• Build, fine-tune, and deploy Generative AI solutions using modern frameworks.
• Integrate AI models with cloud platforms and managed AI services.
• Develop scalable APIs and microservices supporting AI workloads.
• Collaborate with data scientists, ML engineers, and product teams to deliver end-to-end solutions.
• Implement CI/CD pipelines ensuring code quality, testing, and security.
• Monitor and optimise performance, reliability, and cost of cloud AI deployments.
• Ensure compliance with data privacy, security, and responsible AI guidelines.

Requirements:

• Strong hands-on experience in Python development for Gen AI workloads.
• Practical exposure to Generative AI models (LLMs, transformers, diffusion models).
• Understanding/practical knowledge of agentic AI frameworks.
• Experience working with cloudnative AI services on GCP/AWS/Azure.
• Understanding of privacypreserving ML techniques and responsible AI practices.
• Experience working with prompt engineering, including tool calling and guardrails.
• Familiarity with MLOps pipelines, model deployment, and monitoring.
• Ability to design scalable, production-ready AI solutions.