Senior AI Engineer

📋 Description

• Leading AI project delivery end to end with governance and stakeholders.
• Designing robust RAG systems, agentic frameworks, and LLM solutions for production.
• Applying advanced prompt engineering: instruction design, few-shot prompts, structured outputs, tool prompts.
• Leading feasibility assessments for prompting, RAG, fine-tuning, or hybrid approaches.
• Designing evaluation frameworks: LLM-as-a-judge, metrics, recall@k, precision@k, go/no-go gates.
• Running structured experiments across prompts, embeddings, retrieval, chunking, reranking, and models.

🎯 Requirements

• 6+ years of experience building and deploying AI/ML in production.
• Strong Python expertise and solid Git practices.
• Hands-on experience with LLM-powered solutions, RAG systems, and GenAI patterns.
• Practical experience with RAG components: chunking, embeddings, retrieval, reranking, evaluation.
• Strong understanding of prompt engineering: structured outputs, few-shot prompting, instruction design, tool prompts.
• Experience with MLOps/LLMOps and tools such as MLflow or Weights & Biases.

🎁 Benefits

• Flexible working options.
• Equipment provided (MacBook and accessories).
• AWS Certifications and learning plans.
• English lessons and study opportunities.
• Mentoring and development to shape your career.
• Team events and social activities.