Senior AI Engineer

📋 Description

• Design, build, and deploy AI solutions focused on LLMs, generative AI, and modern ML.
• Own end-to-end AI features lifecycle: problem definition, data understanding, modeling, deployment
• Develop and optimize LLM-powered apps like RAG systems, AI agents, chatbots, document understanding.
• Design and contribute to data pipelines for data collection, preprocessing, analytics, AI/ML
• Deploy AI solutions in cloud infra ensuring scalability, security, reliability, performance.
• Collaborate with cross-functional teams to integrate AI into products and tools.

🎯 Requirements

• 5+ years of professional software dev with 2+ years in AI/ML engineering.
• Proven record delivering production AI/ML systems (batch/real-time).
• Strong practical experience with LLMs, prompt engineering, fine-tuning, RAG, or orchestration.
• Hands-on with vector DBs and semantic search (Pinecone, Weaviate, Qdrant, Elasticsearch
• Understanding of RAG architectures, retrieval pipelines, evaluation for LLMs.
• Experience designing/managing data pipelines for AI/ML apps.

🎁 Benefits

• Competitive salary.
• Asynchronous, autonomous, flexible working environment.
• Remote-first with hybrid options depending on role.
• Opportunities to work abroad for short periods.
• Career development within a rapidly expanding org.
• Hardware provided for day-one productivity.