Senior AI Engineer - Remote

Overview

We are seeking a Senior AI Engineer to develop and optimize AI-driven solutions within healthcare analytics. The role involves working hands-on with cutting-edge technologies to build and scale AI applications powered by Large Language Models (LLMs), graph databases, and RAG (Retrieval Augmented Generation) architectures. You will contribute directly to enhancing data visibility and reasoning capabilities for healthcare providers and researchers.

In Short

• Develop AI Agents: Build and optimize AI agents (e.g., Self RAG, GraphRAG, Adaptive RAG) to process and reason with healthcare data.
• Graph and Database Integration: Integrate RAG solutions with graph databases (Memgraph, Neo4j) and relational databases (PostgreSQL).
• LLM Applications: Develop LLM-based solutions using LangChain, LlamaIndex, and DeepEval for advanced data insights.
• Scalable AI Systems: Use Docker and Kubernetes to ensure the scalability and reliability of deployed AI applications.
• Hands-On Technical Work: Solve complex technical problems and deliver high-performance solutions independently.

Requirements

• Proficiency in Python and experience with AI technologies.
• Experience with LangChain, LlamaIndex, and DeepEval.
• Familiarity with Docker and Kubernetes for application deployment.
• Knowledge of graph databases (Memgraph, Neo4j) and relational databases (PostgreSQL).
• Experience with OpenAI APIs and GPT-4.

Benefits

• Opportunity to work with cutting-edge AI technologies.
• Contribute to impactful healthcare solutions.
• Flexible working environment with remote options.
• Collaborative team culture.