AI Engineer – Druid AI & Agentic AI

Data Scientist

Remote

4 -10 Years

Immediate or 15 days

: Agentic AI, Retrieval augmented generation, DruidAI AWS, Python, Large Language Models (LLM)

Key Responsibilities

•

• Integrate Druid AI agents into existing systems, ensuring robust API and data

flow connections.

• Work on semantic search, contextual retrieval, and intent-driven reasoning

within Druid AI frameworks.

• Collaborate with product and engineering teams to map business use cases into scalable AI workflows.

• Continuously monitor, evaluate, and fine-tune AI performance metrics and

model responses.

• Implement best practices for prompt design, context chaining, and memory

management within Druid.

• Document configurations, architecture, and processes for maintainability and

scalability.

Required Skills & Experience:

Druid AI

integration, and orchestration.

• Strong understanding of AI/ML fundamentals, LLMs, vector databases, and retrieval-augmented generation (RAG) concepts.

• Proficiency in Python, REST APIs, and data modeling for AI workflows.

• Experience integrating structured (databases, APIs) and unstructured (PDFs, documents, text) data into AI systems.

• Familiarity with prompt engineering, context management, and multi-agent

orchestration.

• Understanding of embedding models and retrieval pipelines.