AI Engineer

Job Description

Key Responsibilities

The Role

The AI Engineer is responsible for building and scaling enterprise-grade Generative AI platforms that enable rapid development and deployment of LLM-powered applications across the organization. This role focuses on developing reusable GenAI infrastructure including RAG pipelines, vector databases, model serving layers, and agent orchestration frameworks.

Key Responsibilities

GenAI Platform Development

• Build and maintain RAG pipelines and LLM orchestration frameworks
• Develop reusable GenAI services and APIs
• Enable multi-agent and agentic workflows
  
  

Infrastructure & Systems

• Implement scalable model serving infrastructure (vLLM, Triton, APIs)
• Manage vector databases and embedding pipelines
• Optimize performance and cost of LLM systems
  
  

Platform Enablement

• Provide reusable building blocks for AI teams
• Enable rapid experimentation and deployment
• Collaborate with AI/ML teams to accelerate GenAI adoption
  
  

Innovation

• Evaluate emerging GenAI tools and frameworks
• Drive adoption of best practices in LLMOps
  
  

Key Requirements

• Bachelor/ MSc / PhD in Computer Science, Mathematics or related field of study
• Ongoing commitment to training and professional development in AIML, Aviation Domain, Cargo handling, Ground Handling milestones, Ground Freight and Food Solutions.
• 3 to 5 years in AI engineering / backend systems
• Strong expertise in: LLMs, RAG, embeddings, LangChain / LlamaIndex, CrewAI, Vector DBs (FAISS, Pinecone)