AI Engineer

November 11

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Decision Intelligence • ERP Automation • Sales Signals • B2B Vertrieb • Software as a Service

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Description

• Create and implement cutting-edge AI applications centered around LLMs to enhance customer interaction with ERP data. • Design and deploy chat-based solutions that provide seamless access to data and insights. • Develop a scalable and robust AI infrastructure, including data pipelines, model deployment frameworks, and monitoring tools. • Collaborate with cross-functional teams to gather customer requirements and translate them into effective AI solutions. • Implement best practices in software engineering, such as version control, CI/CD pipelines, and automated testing.

Requirements

• Bachelor's or master's degree in Computer Science, Engineering, or related field with a focus on ML and AI. • 3-5 years in AI engineering, with a proven track record of developing and deploying LLM-based applications in production. • Proficiency in Python, TensorFlow, PyTorch, and scikit-learn. • Strong understanding of version control, CI/CD, and containerization (Docker, Kubernetes). • Hands-on experience with large language models and machine learning management systems. • Excellent communication skills and experience working in dynamic, cross-functional teams. • Familiarity with frameworks like langchain for conversational applications, deploying and maintaining production systems, and utilizing vector databases with ontologies in agent systems. • Expertise in SOTA NLP methods and RAG applications is crucial.

Benefits

• Opportunities for professional growth and career advancement in a supportive environment. • Influence the direction of our platform and contribute to its evolution with your expertise. • Enjoy a flexible work schedule and the option to work remotely, with a focus on work-life balance. • 30 Holidays per year and the possibility to do workation based on business needs. • Choose your preferred workspace setup and equipment to optimize your productivity. • Participate in regular team events and off-sites, fostering a collaborative and inclusive culture. • Care about your health with Wellhub (Gympass).