Senior AI & Data Engineer

Bolsterup is transforming the construction industry with AI-powered intelligence. We’re looking for an AI Engineer passionate about building agentic workflows, LLM-driven solutions, and smart automation.

This role suits someone with experience at the intersection of AI, data engineering, and automation, ideally from AI SaaS, data-heavy platforms, or applied AI startups.

What you’ll do:

- Build AI agents with OpenAI, Gemini, and LangChain.

- Create data pipelines for structured & unstructured data (web scraping, PDFs, Excel).

- Implement OCR, vector search (Pinecone), and RAG systems.

- Automate workflows using n8n & Python.

What we need:

✅ Expert in Python and AI integrations.

✅ Skilled in web scraping, OCR, embeddings, vector DBs.

✅ Experience with custom model training & agent orchestration.

If you love building AI-driven products, designing intelligent workflows, and working with cutting-edge tech, we want to talk to you!

• 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.

• 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 with Vertex AI and AI model deployment on cloud.
• Familiarity with multi-modal AI (text, image, tabular).
• Knowledge of data governance and privacy best practices.
• Prior experience with Stream Chat, Cloudflare Workers, and CDN-based deployments.
• Experience building backend services with either Django or NestJS

• Opportunity to build the future of AI in Contech.
• Fully remote role
• Competitive compensation and equity.
• Employee stock options
• Cutting-edge AI infrastructure and a fast-paced, innovation-driven culture.