Senior AI & Data Engineer

Python Expert – Advanced proficiency in async programming, data processing (pandas, NumPy), and automation. Web Scraping Expertise – Experience with Playwright, Puppeteer, Scrapy, and anti-bot evasion techniques. Document Parsing & OCR – Skilled in Tesseract, AWS Textract, Google Document AI, or similar. LLM Development – Hands-on with OpenAI, Gemini, LangChain, and building custom agents. Vector Database Knowledge – Experience with Pinecone, FAISS, and embedding optimization. Data Structuring & Entity Matching – Experience with data normalization, deduplication, and fuzzy matching. Workflow Automation – Proficient in n8n, Zapier, or other orchestration platforms. Cloud & Deployment – Familiar with Docker, serverless functions, and GCP/AWS. Experience building backend services with either Django or NestJS.

Build agentic workflows using LangChain, OpenAI, Gemini, and custom orchestration. Design context-aware RAG systems for accurate retrieval and response. Fine-tune models for domain-specific tasks using LoRA, PEFT, RLHF. Build robust web scrapers for structured and unstructured sources. Implement OCR solutions for extracting data from PDFs, images, and scanned documents. Parse Excel sheets, PDFs, and semi-structured data, extracting and matching entities across datasets. Normalize and structure raw scraped and document data for downstream AI workflows. Implement and optimize data vectorization pipelines for semantic search. Use Pinecone, FAISS, or Weaviate for vector storage and similarity search. Apply dimension reduction techniques (PCA, UMAP) for efficiency. Use n8n and similar tools for rapid prototyping and automation. Build modular pipelines for continuous data ingestion and transformation. Develop APIs and connectors to integrate AI-driven insights with Bolsterup’s core platform. Deploy solutions using Docker, serverless architectures, and cloud platforms (GCP/AWS). Implement monitoring for AI pipelines, including token usage and latency tracking.