Senior AI Engineer

📋 Description

• Lead project delivery end to end, with clear governance, stakeholder communication, and
• Build and mentor a high-performing AI engineering team, establishing technical standards and
• Own proposals and new business initiatives, defining technical feasibility and communicating risks
• Define what AI systems should and should not attempt, setting realistic expectations and being
• Conduct technical reviews and architectural assessments to maintain high standards across projects
• Guide the design and delivery of RAG systems, agentic frameworks, and LLM-powered solutions that

🎯 Requirements

• 5+ years building and deploying AI solutions in production environments
• Expert Python proficiency, strong Git practices, and experience with ML/LLM versioning and
• Solid cloud experience across AWS, Azure, or GCP—preference for Azure—plus containerisation and
• Hands-on RAG experience covering chunking, embeddings, retrieval, reranking, and evaluation
• Proven MLOps/LLMOps track record using tools like MLflow, Weights and Biases, or similar
• Practical evaluation design skills: metrics, dataset curation, and structured experimentation

🎁 Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake
• Access to AI learning paths to stay up to date with the latest technologies
• Study plans, courses, and additional certifications tailored to your role
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills
• English lessons to support your professional communication
• Travel opportunities to attend industry conferences and meet clients