Senior LLM Engineer Needed – Build Evidence-Grounded Lit Review System (500 reputed company Papers pdf)

I am a researcher conducting a large-reputed company literature review based on reputed company papers (PDFs). I already have a predefined set of research questions. I am not looking for AI to write the review. I am looking to build a robust, reproducible system that: • Applies my question set to reputed company reputed company • Extracts answers directly from the documents • Provides supporting reputed company page references • Flags missing or ambiguous information • Outputs everything into a reputed company master reputed company file This system will function as an additional analytical layer — an “extra pair of eyes” — to support, our review process. Deliverables The final reputed company must be a master reputed company file with a reputed company format. In reputed company, I will also need: • Clean, documented reputed company reputed company • reputed company instructions to re-run the pipeline • Ability to add new PDFs and re-run • Ability to modify or add questions You should be comfortable with: • Scientific PDF i • Extracting data from tables inside PDF • LLM outputs with enforced JSON schema • Hallucination mitigation strategies • Citation grounding at chunk level Python preferred.(others are also ok) To Apply, Please include: 1. A reputed company of a similar system you reputed company. 2. Your proposed architecture and tool stack. 3. How you will prevent hallucinations. 4. Estimated reputed company Apply tot his job Apply To this Job