AI Engineer

📋 Description

• Develop GenAI platforms for business verticals using Python and LangChain.
• Design and implement Retrieval Augmented Generation (RAG) systems with vector DBs and LLMs.
• Build scalable AI pipelines for ingestion, embedding, retrieval, and generation.
• Integrate LLMs with enterprise data sources and APIs.
• Implement LLM evaluation frameworks to measure performance and accuracy.
• Establish AI governance and guardrails with safety checks and monitoring.

🎯 Requirements

• Strong programming experience in Python.
• Experience with Agentic AI framework such as LangGraph.
• Hands-on experience building RAG-based applications.
• Experience working with Vector Databases (Pinecone, Weaviate, OpenSearch, etc.).
• Knowledge of AI pipeline architecture and model orchestration.
• Experience with LangChain or similar LLM orchestration frameworks.

🎁 Benefits

• Work on cutting-edge Generative AI systems.
• Collaborative engineering culture focused on innovation.
• Exposure to modern AI architectures incl. agents, RAG, automation.
• Competitive compensation and growth opportunities.
• 4 ROLLER Recharge days per year.
• 16 weeks paid parental leave for primary carers.