Synapse XTL - Data Scientist/AI Engineer

Key Responsibilities :

- LLM Development & Integration : Build, fine-tune, and deploy LLM-based applications using OpenAI (GPT-4o), Anthropic (Claude), and Google Gemini APIs.
 

- Agentic AI Systems : Design and implement multi-agent workflows using LangChain and LangGraph for complex analytical procedures, risk analysis, and financial document processing.
 

- Document Intelligence : Develop and maintain OCR pipelines, PDF extraction, and entity extraction systems for financial documents (balance sheets, income statements, audit workpapers).
 

- API Development : Build and maintain RESTful APIs using FastAPI and Flask for AI microservices.
 

- Frontend Integration : Collaborate with frontend teams and build demo interfaces using Gradio and Streamlit.
 

- Cloud Infrastructure : Deploy and manage AI applications on AWS (Elastic Beanstalk, S3, Lambda, Textract).
 

- MLOps & Monitoring : Implement observability using LangFuse, New Relic, and Sentry for LLM tracing and performance monitoring.
 

- Code Quality : Write clean, tested, and production-ready Python code following best practices.

Required Technical Skills :

Core Python & AI/ML Frameworks :
 

- Strong proficiency in Python 3.10+.
 

- Hands-on experience with LangChain, LangGraph, and LangChain Hub.
 

- Working knowledge of OpenAI API, Anthropic Claude API, and Google Generative AI.
 

- Experience with Pydantic for data validation and schema modeling.

Document Processing & OCR :
 

- Familiarity with OCR libraries : Tesseract, EasyOCR, AWS Textract.
 

- PDF processing with PyMuPDF, PyPDF2, pdf2image, pdfplumber.
 

- Document parsing with Unstructured, MarkItDown, python-docx.

Web Frameworks & APIs :
 

- FastAPI and Flask for building production APIs.
 

- Uvicorn and Gunicorn for ASGI/WSGI servers.
 

- RESTful API design and implementation.