AI Engineer

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.

Job Description

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)

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