Artificial Intelligence Engineer

AI Engineer | Python + GenAI + Data

We're looking for an AI Engineer (8+ years) to design and ship production-grade GenAI systems — from RAG pipelines to knowledge graphs to conversational agents.

You'll:

• Build and optimize RAG pipelines using vector databases, embeddings, and semantic search
• Design context windows, retrieval strategies, and memory management for LLM applications
• Develop AI chatbots and conversational agents using LLM APIs (OpenAI, Anthropic, Gemini, open-source models)
• Architect knowledge graphs and semantic layers (Neo4j, RDF, SPARQL, ontologies) to connect structured and unstructured data
• Build data pipelines and orchestration (Airflow/Prefect/Dagster) to feed AI systems at scale
• Fine-tune and deploy LLMs to production, with MLOps practices for versioning and monitoring (MLflow, W&B)
• Work across cloud AI platforms — AWS Bedrock, Azure OpenAI, GCP Vertex AI

You have:

• 8+ years Python-first engineering experience across data, AI, and backend systems
• Deep hands-on expertise in GenAI, RAG, prompt engineering, and vector/graph data architectures
• Strong SQL/NoSQL skills alongside vector and graph stores
• Ability to translate complex AI concepts into clear business outcomes