Join our dynamic co.brick Observe team, where youll have the opportunity to help develop an innovative AI-driven platform. We are combining data monitoring, anomaly detection, predictive analytics, and user support powered by Generative AI.
You’ll also contribute to AI/ML Proof of Concepts (PoCs) and MVP projects, utilizing cutting-edge technologies in a fast-paced, collaborative environment.
This is an exciting opportunity to shape the future of AI-powered user interactions and make a real impact. If you thrive in a startup-like atmosphere and are passionate about driving innovation, we’d love to have you on board!
responsibilities :
Design and implement scalable backend services in Python that support, ML and generative AI solutions, for knowledge inference and user support, including developing conversational React agents capable of understanding and responding in natural language.
Develop and maintain semantic knowledge bases using Retrieval-Augmented Generation (RAG) processes to enhance the systems ability to provide accurate, contextually relevant information and support.
Continuously improve data inference models to enable better predictions, and automated recommendations, contributing to smarter system functionalities.
Collaborate with cross-functional teams to ensure the seamless integration of generative AI and semantic knowledge solutions into the broader system (such as Observe as a complex observability system), improving overall performance and user experience.
Development of AI/ML Proof of Concepts (PoCs) and Minimum Viable Products (MVPs), showcasing innovative solutions and demonstrating the potential of new technologies in real-world applications.
Provide ongoing support, ensuring alignment with the latest AI-driven methodologies and tools.
Stay informed about emerging AI technologies, trends, and best practices. Apply this knowledge to improve data engineering processes and techniques continuously.
requirements-expected :
Experience with asynchronous programming in Python (asyncio, aiofiles, aiohttp)
Experience with REST API frameworks (FastAPI)
Solid programming skills in Python, familiarity with version control systems (e.g., Git), knowledge of various database systems and data warehousing concepts (e.g., PostgreSQL, MongoDB)
Hands-on experience in generative AI/NLP solutions and Machine Learning model development and deployment.
Familiarity with semantic knowledge bases and Retrieval-Augmented Generation (RAG) processes, along with experience in integrating AI solutions for knowledge inference and support systems.
Expertise in data inference models and developing automated recommendation systems, with a focus on optimizing predictions and enhancing system intelligence.
Experience working in cross-functional teams, collaborating with data scientists and engineers to ensure smooth integration of AI solutions into complex systems.
Strong knowledge of conversational AI agents, including the development and optimization of personalized natural language-based support systems.
offered :
Startup atmosphere based on partnership approach
Independence, influence on the company
No corporate rules
Cyclic integrations
Private medical care Medicover
Development in modern technologies
Knowledge sharing, Agile / Scrum
Flexible working hours – you choose
Multisport card
Modern equipment
Free fruits, snacks and drinks
benefits :
private medical care
sharing the costs of professional training & courses
