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Senior AI & Data Engineer
BolsterupPTHá 4 dias
Tipo de trabalho
- Quick Apply
Descrição do cargoBuild 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 .
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!
Requirements
Key Responsibilities
AI & LLM Development
Data Processing & Extraction
Vectorization & Retrieval Systems
Workflow Orchestration & Automation
Infrastructure & Integrations
Required Skills & Experience
Nice-to-Have Skills
Benefits
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