• Design, develop, and implement artificial intelligence solutions. • Work closely with data scientists, engineers, and stakeholders. • Build scalable AI models and integrate them into product offerings. • Involved in all stages of AI project development from data collection to model monitoring.

• Diseñar e implementar arquitecturas basadas en agentes (LLM + Agent Systems) • Construir sistemas con: Orquestación de tareas • Gestión de contexto y memoria • Tool / function calling • Diseño de flujos conversacionales no deterministas basados en IA. • Integración de agentes con: APIs REST • Webhooks • Sistemas corporativos • Plataformas de mensajería (webchat, WhatsApp, etc.) • Desarrollo de soluciones de IA sobre entornos cloud (especialmente GCP / Vertex AI). • Diseño avanzado de prompts: Control de contexto • System instructions • Manejo de ambigüedad y edge cases • Implementación de estrategias para: Reducción de alucinaciones • Evaluación de calidad de respuestas • Mejora de experiencia conversacional • Garantizar calidad del sistema: Escalabilidad • Robustez • Mantenibilidad • Guardrails • Definir sistemas de observabilidad: Logs de conversación • Métricas de calidad • Evaluación continua • Colaborar con equipos técnicos (backend/frontend) y stakeholders de producto.

Role Description BlackStone eIT is looking for a skilled AI Engineer to join our innovative team. As an AI Engineer, you will design, develop, and implement artificial intelligence solutions that address complex business challenges. You will work closely with data scientists, engineers, and stakeholders to build scalable AI models and integrate them into product offerings. This position offers a great opportunity to contribute to cutting-edge AI projects and help drive the adoption of AI technologies within our organization. You will be involved in all stages of AI project development, including: - Data collection and preprocessing - Model training - Deployment - Monitoring Qualifications - 3+ years of experience in AI or machine learning engineering roles - Proficiency in programming languages such as Python - Experience with AI/ML libraries like TensorFlow, PyTorch, or Scikit-learn - Knowledge of AI model deployment and monitoring best practices - Understanding of data processing, feature engineering, and model evaluation techniques - Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field - Strong problem-solving abilities and excellent communication skills - Experience with cloud computing platforms (AWS, Azure, or GCP) is preferred - Familiarity with containerization tools such as Docker is a plus Benefits - 💵 Competitive salary paid in USD - 🏡 Fully remote – work from anywhere - 🌎 Work with a diverse international team - 🚀 Exciting projects and a supportive engineering culture - 📈 Opportunities to grow technically and professionally

Role Description We are seeking a skilled and innovative AI Engineer who has experience working with Generative AI (GenAI) models, such as Large Language Models (LLMs), and implementing these solutions into web applications. This role combines the responsibilities of a full-stack developer with advanced knowledge of machine learning models, APIs, and cloud infrastructure, focusing on integrating state-of-the-art AI capabilities into user-friendly and efficient web-based applications. Key Activities: - Model Integration & API Development: - Integrate LLMs and other GenAI models into web applications through efficient API design and implementation. - Build and optimize API endpoints to allow seamless, real-time interaction between front-end applications and back-end AI models. - Design and develop secure, scalable, and high-performing microservices for AI model deployment. - Back-End Development & AI Pipelines: - Develop robust back-end systems in Python to support the deployment, scalability, and maintenance of GenAI models. - Build and maintain data pipelines, including preprocessing data and post-processing AI model outputs for consumption by applications. - Implement best practices for handling sensitive data and maintaining model performance. - Infrastructure & Deployment: - Use Kubernetes and Docker for containerization and orchestration to ensure scalable deployment and management of AI applications. - Implement continuous integration and continuous deployment (CI/CD) pipelines for automated testing and deployment of code changes. - Maintain a scalable and secure cloud infrastructure, leveraging platforms such as Google Cloud Platform, or Azure for model training, storage, and deployment. - LLM and GenAI Ecosystem Expertise: - Utilize vector databases (e.g., Pinecone, Weaviate, or Faiss) to manage and retrieve embeddings for efficient similarity search and recommendation systems. - Work with frameworks for model development and deployment, including Hugging Face Transformers, LangChain, and OpenAI. - Optimize and fine-tune LLMs to improve performance based on application needs. Qualifications - Min Bachelor's degree in Computer Science, Engineering, or a related field. - 7+ years of experience as a full-stack developer, ideally with a focus on AI model integration. - Proficiency in Python. - Strong knowledge of GenAI models and LLMs, including experience with model selection, tuning, and embedding strategies. - Experience with API development and integration to facilitate communication between front-end applications and AI models. - Working knowledge of containerization technologies like Docker and container orchestration with Kubernetes. - Familiarity with cloud platforms (AWS, GCP, or Azure) for AI model deployment and scalability. - Proficient in vector databases and their integration with LLM models for enhanced application functionality. - Familiarity with database management (SQL, NoSQL) and caching solutions (e.g., Redis). - Experience in CI/CD pipelines, code versioning (Git), and DevOps practices. - Excellent knowledge of English AND Polish. Preferred Qualifications - Knowledge of streaming architectures for real-time data processing and ingestion (e.g., Apache Kafka). - Familiarity with serverless architectures (e.g., AWS Lambda) for scalable deployment of AI features. - Prior experience in ML frameworks like TensorFlow, PyTorch, or ONNX. - Understanding of data privacy and security best practices in AI applications. Soft Skills - Strong problem-solving skills and ability to work independently and as part of a team. - Excellent communication skills to translate technical requirements into actionable development tasks. - Proactive approach to staying updated with emerging AI technologies and frameworks. Benefits - This is a unique opportunity to work on cutting-edge AI applications that leverage the latest advancements in Generative AI and Large Language Models, impacting the future of intelligent software development. - The option to work from the office or 100% remotely. - Opportunity to work in a diverse, international and cross-functional environment, along with leading experts. - Fulfilling careers with a range of benefits for people and invests in providing training opportunities for their development. - Involvement in technology monitoring and choices. - Your impact will be visible instantly and you will be making a difference in our users' lives. - B2B type of contract.