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. Education & Experience - Bachelor’s degree in Engineering, Data Science, AI, or related field. 1–4 years of experience in AI/Data Engineering.

Requirements

• AI Agents
• Data Pipelines
• LLM Frameworks
• DevOps
• API Integration

Qualifications

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

Preferred Technologies

• AI Agents
• Data Pipelines
• LLM Frameworks
• DevOps
• API Integration

Benefits

• Paid sick time
• Paid time off