AI Engineer / Data Specialist

About the job

The AI Engineer / Data Specialist will build, deploy, and maintain AI solutions including AI agents, data pipelines, and knowledge graphs. The role supports rapid pilot development and collaborates with offshore teams for scalable execution. Roles & Responsibilities Develop and deploy AI agents and LLM-based applications. Work with LLMs such as ChatGPT, LLaMA, and related frameworks. Build and manage vector databases and knowledge graphs. Create and maintain data pipelines using Pandas or Spark. Integrate AI systems using APIs and healthcare data standards (FHIR preferred). Support DevOps activities including Docker and CI/CD. Assist in scaling projects and managing offshore deliverables. Ensure performance, reliability, and documentation of AI solutions. Required Skills Full-stack AI development experience. Knowledge of LLM frameworks (LangChain, AutoGen, etc.). Experience with vector databases and embeddings. Strong data handling and pipeline development skills. API integration and basic DevOps knowledge. Problem-solving and analytical mindset. Education & Experience Bachelor’s degree in Engineering, Data Science, AI, or related field. 1–4 years of experience in AI/Data Engineering.

Requirements

• AI development
• LLM frameworks
• vector databases
• data handling
• API integration
• DevOps

Qualifications

• Bachelor’s degree in Engineering
• Data Science
• AI

Preferred Technologies

• AI development
• LLM frameworks
• vector databases
• data handling
• API integration
• DevOps

Benefits

• Paid sick time
• Paid time off