AI Engineer / Data Specialist

About the job

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.

Requirements

• Data Engineering
• AI Development
• LLM Knowledge
• API Integration
• Problem-Solving

Qualifications

• Bachelor’s degree in Engineering, Data Science, AI, or related field
• 1–4 years of experience in AI/Data Engineering

Preferred Technologies

• Data Engineering
• AI Development
• LLM Knowledge
• API Integration
• Problem-Solving

Benefits

• Paid sick time
• Paid time off