AI Engineer Lead (Generative AI)

About the role

The company is looking for a proactive and highly skilled AI Engineer Lead to run the design, execution and deployment of generative AI solutions. The lead owns medium-to-large epics from conception to production, acting as a bridge between complex model development and practical system integration with minimal oversight.

Key responsibilities

• Own the end-to-end design, planning, execution and testing of medium-to-large scale epics, including full responsibility for system components and high-quality code.
• Train and fine-tune models on specialized datasets, and deploy them in cloud environments (AWS or GCP) with a focus on scalability, availability and reliability.
• Evaluate model performance, design custom benchmarks, and document AI workflows, models and algorithms.
• Communicate technical decisions clearly via email, MS Teams and pull requests, giving and seeking constructive feedback.
• Partner with product and engineering teams to integrate generative AI into existing workflows, mentor junior engineers and take part in interview evaluations to help scale the engineering organization.

Required profile

• Proven track record of deploying AI models in production environments (AWS/GCP).
• Hands-on experience fine-tuning LLMs and using modern AI frameworks.
• Strong understanding of end-to-end software development lifecycles and system architecture.
• Ability to work with minimal oversight, prioritize effectively and stay up to date with the latest advances in Generative AI.

Required skills

• Fine-tuning LLMs and modern AI frameworks
• AWS or GCP cloud deployment
• Version control and pull request workflows
• MS Teams collaboration tools