AI Engineer

Summary

Join GWI as an AI Engineer and play a key role in building and deploying intelligent systems. You will select and fine-tune models, integrate them with backend systems, and collaborate with cross-functional teams. This role requires experience deploying and maintaining ML models in production, hands-on experience with LLMs, strong Python skills, and familiarity with various tools and technologies. The ideal candidate will also possess a strong attitude, thinking big, asking why, and showing respect. GWI offers a comprehensive benefits package including generous time off, private health insurance, flexible work options, family-focused flexibility, and professional development opportunities. The company values diversity and inclusion and encourages applications from all backgrounds.

Requirements

• Demonstrate core skills required for the role
• Experience deploying and maintaining ML models in production, with tools like MLflow or Weights & Biases
• Hands-on experience with LLMs (e.g., GPT, LLaMA), including prompt engineering, RAG, and fine-tuning for real-world use
• Strong Python skills and familiarity with backend integration and data pipelines
• Skill in working with diverse data types and prepping large-scale datasets using tools like Spark or SQL
• Familiarity with MLOps tools, CI/CD, Docker, Kubernetes, and cloud platforms (AWS, GCP, etc.)
• Think big to make an impact
• Ask why to find a better way
• Show respect to everyone, at every level, all the time

Responsibilities

• Build and deploy intelligent systems that deliver real impact
• Select and fine-tune models
• Integrate models with backend systems
• Work closely with cross-functional teams to bring AI solutions to life
• Solve complex problems
• Stay hands-on with the latest ML tools
• Thrive in a fast-paced, ever-evolving environment

Benefits

• 25 days annual leave
• End-of-year office closures
• Private health insurance
• Flexitime
• Early Friday finishes
• Work-from-anywhere options
• Work from home budget
• Carer days
• Enhanced parental leave
• Private insurance for your family
• Accredited learning programs
• A commitment to mental and physical health
• Reward and recognition programs
• Career development opportunities
• DE&I committee
• Volunteer options
• 100% donation matching
• Payroll giving options
• Generous training budget, including a fully paid international conference each year for Engineering and Data Science roles
• Mobile phone contract and restaurant ticket options
• Private health insurance plan