AI Engineer

  • 99x Americas Formerly Nextly
  • Verified

Job Description

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.

Responsibilities

  • 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.

Key Technologies

  • Python
  • LangChain, LlamaIndex, DeepEval
  • Docker, Kubernetes
  • Graph Databases (Memgraph, Neo4j)
  • PostgreSQL
  • OpenAI APIs, GPT-4
  • LLMCompiler, ReAct, Adaptive RAG, GraphRAG Architectures

Requirements

  • Strong experience in developing AI-driven applications, particularly with LLMs and agent-based architectures.
  • Proficient in Python and modern AI/ML frameworks.
  • Experience with Docker and microservices for building scalable solutions.
  • Expertise in graph databases (Neo4j, Memgraph) and relational databases (PostgreSQL).
  • Solid understanding of cloud deployment, Kubernetes, and scalable system architectures

Benefits

  • Your pick when it comes to employment models: CLT/PJ/Cooperativa;
  • We provide resources for you to grow and learn on the job, including online courses, mentoring, and the latest gen laptops;
  • A fully remote work environment with flexible working hours;
  • Bonus for any referrals that we end up hiring;