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About BrandBastionBrandBastion is a leader in social media management, combining human expertise and AI-powered solutions to help brands monitor, moderate, and manage online conversations at scale.Our cutting-edge technologies drive real-time customer engagement and reputation management across the world's top social media platforms.Location: EU RemoteSalary Estimate:€60,000 - €80,000 per annumJob OverviewWe are seeking an experienced Junior AI Engineer to join our innovative AI team. The main responsibility of this role is to design, implement, and maintain solutions that require designing and integrating LLM responses with supporting tools or other LLM queries in order to achieve complex tasks efficiently.Key Responsibilities:
- Develop and implement agents or other LLM chaining workflows to ensure seamless interaction between different models and tools.
- Collaborate with senior engineers and data scientists to design AI-driven solutions that meet specific business goals.
- Optimize LLM responses for accuracy, relevance, and efficiency in achieving desired outcomes.
- Continuously test, monitor, and improve AI models for enhanced performance and stability.
- Participate in the deployment and scaling of AI-powered tools across various systems.
- Troubleshoot and resolve issues related to LLM performance and integration.
- A supportive and flexible work environment where you can grow your career while working with a cutting-edge team of experts.
- The opportunity to work on pioneering AI technologies and be part of a company that is shaping the future of social media management.
- A collaborative and inclusive work environment with a global team of experts.
- Flexibility to work remotely and balance professional and personal commitments.
- Opportunities for growth and advancement.
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- Solid understanding of Large Language Models (LLMs) and natural language processing concepts.
- Experience with AI model development, deployment, and integration.
- Familiarity with APIs and tools to connect various AI models or systems (e.g., OpenAI, Gemini, etc.).
- Basic proficiency in Python, and experience with AI / ML frameworks including knowledge of langchain, langgraph or similar language model integration frameworks.
- Experience with prompt engineering and chaining LLMs in real-world applications.
- Understanding of machine learning pipelines and model evaluation metrics.
- Familiarity with cloud platforms (e.g., AWS, GCP) and deployment best practices.
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