Full-Time Fullstack Engineer - AI-Based Applications

• 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.
• Front-End Development: Design and develop responsive and intuitive front-end applications using React.js to enhance the user experience of AI-powered applications.
• Implement front-end components to visualize, interpret, and manage AI model outputs effectively.
• 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.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a full-stack developer, ideally with a focus on AI model integration.
• Proficiency in Python for backend development and React.js for frontend development.
• Strong knowledge of GenAI models and LLMs, including experience with model selection, tuning, and embedding strategies.
• Experience with API development and integration.
• Working knowledge of Docker and Kubernetes.
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Proficient in vector databases.
• 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.

• Knowledge of streaming architectures (e.g., Apache Kafka).
• Familiarity with serverless architectures (e.g., AWS Lambda).
• Prior experience in ML frameworks like TensorFlow, PyTorch, or ONNX.
• Understanding of data privacy and security best practices in AI applications.

• Strong problem-solving skills and ability to work independently and as part of a team.
• Excellent communication skills.
• Proactive approach to staying updated with emerging AI technologies and frameworks.

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