Principal Engineer (Gen AI)

TL;DR

Principal Engineer (Gen AI): Strategizing, building, and supporting generative AI implementations for enterprise platform with an accent on MLops, LLM integration, and AI-driven automation. Focus on designing complex ML systems, deploying real-world AI solutions, and ensuring secure, reliable operations under production loads.

Location: Hook, UK - Hybrid Work Environment

Company

Global leader in animal health dedicated to innovating products and services for farm animals and pets.

What you will do

• Drive direction of GenAI platform and automation capabilities with Principal Platform Engineer and Senior Product Owner.
• Build, govern, and maintain GenAI products, integrating into standard incident processes.
• Design and implement solutions for automating IT and business processes using CI/CD.
• Collaborate with distributed teams, product managers, data scientists, and stakeholders to integrate AI into products.
• Coach junior engineers and support application teams in adoption and utilization.
• Stay abreast of AI trends, communicate insights, and pursue continuous improvements.

Requirements

• Minimum 2+ years hands-on in Generative AI and LLMs; 8+ years as Software Engineer
• Proficiency in Python, TensorFlow, PyTorch, and other AI/ML frameworks
• Strong understanding of MLops, neural networks, NLP, computer vision
• Experience designing/implementing complex ML systems, data pipelines, cloud platforms (Google Cloud, Azure)
• Background in Python/TypeScript, DevOps practices (CI/CD, TDD, agile)
• Operational experience maintaining products and working with technical/non-technical teams

Nice to have

• Cloud Native patterns, Terraform, Ansible, Packer
• Azure/GCP cognitive services, AI/Embeddings tech (Azure AI Studio, Vertex AI)
• Azure Data Factory/GCP Data Fusion, ML engines, data lakes
• API ecosystems, authentication protocols, AI security/model evaluation

Culture & Benefits

• Diverse and inclusive environment fostering innovation and new ways of thinking.
• Modern technology stack built from scratch post-separation from parent company.
• Opportunities to work across engineering teams and with external partners.
• Focus on secure, reliable, efficient delivery and continuous skill development.
• Hybrid work in Hook, UK.