AI Senior Engineer

Core Responsibilities:

• Develop, maintain, and scale a RAG-based chatbot system.
• Build and optimize document ingestion pipelines, including parsing, chunking, embedding, and indexing large-scale text corpora.
• Orchestrate LLM workflows using tools like custom logic for context construction, prompt templating, and fallback handling.
• Own the end-to-end deployment stack: API development with FastAPI, and service management on cloud VMs.
• Collaborate cross-functionally to identify automation opportunities, define solution scope, and incorporate user feedback into iterative model improvement.
• Contribute to internal tooling for document updates, re-indexing, and evaluation, maintaining reliability across multiple knowledge domains.

Experience:

• Industrial experience of 7-10 years
• 4+years of experience in building and deploying LLM-based system

Skills & Competencies:

Must Have:

• A Bachelors degree (or above) in any relevant field (e.g., Computer Science, Statistics) is strongly preferred.
• 4+ years of hands-on experience in AI/ML engineering, with real-world deployment of models and pipelines.
• Strong expertise in Python
• Proven experience building and deploying LLM-based systems, particularly those using retrieval-augmented generation (RAG).
• Solid understanding of vector databases, embeddings, and semantic search architecture.
• Strong skills in data engineering: ETL pipelines, data cleaning, transformation, and large-scale processing.
• Experience in building REST APIs, containerizing services with Docker, and deploying to cloud infrastructure (preferably Azure or AWS).
• Strong understanding of cloud platforms and modern data architectures (e.g., AWS, GCP, Azure).