April 2025 - Python Developer with Scraping and LLM Expertise
Description
We are looking for a highly skilled Python Developer who excels in building advanced data scraping tools and integrating large language models (LLMs) into scalable backend systems. In this role, you'll develop robust web scraping solutions, optimize data pipelines, and contribute to cutting-edge LLM-based projects that drive intelligent data analysis and business insights.
Contact
careers@codilas.comSalary range
2,500 – 7,000 EUR (Brutto I)
Your Role and Contributions
- Data Scraping & Extraction. Develop and maintain scalable web scraping tools using Python frameworks like Scrapy and BeautifulSoup, ensuring reliable data extraction from various sources.
- LLM Integration & Optimization. Design and integrate large language model solutions to automate data processing and enhance analytical capabilities within our backend infrastructure.
- Backend Systems & API Development. Collaborate with cross-functional teams to create and optimize APIs and microservices that support our data-driven platforms.
- Data Pipeline & ETL Management. Ensure data integrity and efficient workflow orchestration through robust ETL processes and continuous pipeline improvements.
- Collaboration & Innovation. Participate in code reviews, agile development sessions, and contribute to the overall innovation in our technical strategies.
Required Skills & Qualifications
- Strong proficiency in Python and its frameworks
- Experience with web scraping tools (e.g., Scrapy, BeautifulSoup)
- Proficiency in designing and developing RESTful APIs
- Familiarity with integrating and deploying LLMs
- Solid understanding of data processing and ETL workflows
Nice-to-Have (Not Required)
- Experience with containerization (Docker, Kubernetes)
- Background in natural language processing (NLP)
- Familiarity with cloud platforms (AWS, GCP, Azure)
- Contributions to open-source projects
Selection process
- Share your CV and any relevant work samples.
- Submit CV
- A single, relaxed conversation where we get to know each other, discuss our culture, and assess your technical expertise.
- Interview
- If we're a good match, we'll extend a formal offer.
- Offer
What do we offer?
Flexible Working Hours
Manage your own schedule to maintain a healthy work-life balance.
Global Exposure
Opportunities to travel and immerse yourself in diverse cultures, expanding your perspectives.
Hybrid Work Environment
Work remotely, onsite, or mix it up—whatever works best for you.
Top-Tier Equipment
We provide state-of-the-art tools and resources to help you excel.
Continuous Learning
Access to educational resources, training, and professional development opportunities.
Conference Support
We sponsor attendance at industry-leading events, helping you stay on top of industry trends.
Performance Bonuses
Receive mid-year and year-end bonuses based on productivity and contributions.