Job Description
Iteration and is comfortable treating AI capabilities as real world product features (not standalone experiments).
Responsibilities
AI & LLM Engineering
- Deploy and fine-tune LLMs on on-premise / private infrastructure (no external API dependency)
- Build backend architecture by developing NLP pipelines and implement RAG (Retrieval Augmented Generation) pipelines using local vector databases
- Optimize models for performance, memory usage, and inference latency on internal hardware
- Design AI components with clear product use cases and user workflows in mind
- Translate functional requirements into AI capabilities that can be embedded into applications
Document Intelligence
- Design and develop secure backend services (Python-based preferred) to orchestrate: Document ingestion, LLM inference, Scoring and comparison logic
- Build robust pipelines to process multi-format documents (DOCX, PDF, scanned documents, etc.)
- Handle document chunking, embeddin...
Responsibilities
AI & LLM Engineering
- Deploy and fine-tune LLMs on on-premise / private infrastructure (no external API dependency)
- Build backend architecture by developing NLP pipelines and implement RAG (Retrieval Augmented Generation) pipelines using local vector databases
- Optimize models for performance, memory usage, and inference latency on internal hardware
- Design AI components with clear product use cases and user workflows in mind
- Translate functional requirements into AI capabilities that can be embedded into applications
Document Intelligence
- Design and develop secure backend services (Python-based preferred) to orchestrate: Document ingestion, LLM inference, Scoring and comparison logic
- Build robust pipelines to process multi-format documents (DOCX, PDF, scanned documents, etc.)
- Handle document chunking, embeddin...
Ready to Apply?
Take the next step in your AI career. Submit your application to Quilytics today.
Submit Application