Responsible for developing AI models, building data pipelines, optimizing workflows, and deploying cloud solutions for intelligent automation in construction.
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!
Key ResponsibilitiesAI & LLM Development
- 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.
Top Skills
AWS
Aws Textract
Docker
Faiss
GCP
Gemini
Google Document Ai
Langchain
N8N
Numpy
Ocr
Openai
Pandas
Pinecone
Playwright
Puppeteer
Python
Scrapy
Tesseract
Weaviate
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