Responsibilities
Writing clean, scalable and efficient code.
Building reusable code libraries for future use.
Creating high-performance and scalable servers either using Go, Java, Node.js, Kotlin, others.
Designing and implementing RESTful APIs.
Ability to develop scalable server code using gRPC, and similar technologies.
Optimizing the performance of applications for full-scale production deployments.
Researching and developing involving Generative AI models and techniques.
Designing scalable pipelines to integrate AI models, including RAG architectures, into backend services.
Fine-tuning and adapting models for specific use cases with domain-specific data.
Implementing and integrating vector databases (e.g., Pinecone, Milvus) for RAG workflows.
Providing code documentation and contributing to technical documents.
Routinely inspecting server code for speed optimization.
Participating in code reviews.
Conceptualizing and implementing solutions for data storage.
Configure usability of all front-end applications.
Maintaining a stable server with zero downtime.
Troubleshooting and debugging to optimize performance
Basic qualifications
Degree in Computer Science, Engineering or related field.
Experienced with software engineering best practices such as design patterns, code reviews, unit and integration testing, etc.
In-depth understanding of computer science fundamentals, Internet technologies and protocols.
Capable of prioritizing multiple tasks to meet goals without management oversight.
Fluent in English with strong communication skills.
Ability to communicate complex topics in a clear and structured way.
Capable of exploring and quickly use new frameworks and tools.
Proactive, able to take initiative and operate independently.
Strong problem-solving skills and attention to detail.
Preferred Skills:
Experience on integrating foundational models such as OpenAI GPT, BERT or LLaMA.
Proficiency in implementing RAG architectures using tools like LangChain or Haystack.
Ability to fine-tune pre-trained models using libraries like Hugging Face Transformers or TensorFlow Hub.
Hands-on experience with vector databases like Pinecone or Milvus.
Proficiency in working with ML/AI libraries and frameworks like TensorFlow, PyTorch, or similar.
Knowledge of video generation systems using deep learning techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders) and transformers.
Benefits
We offer a competitive compensation package as well as an environment conducive to personal and professional growth.
Apply at:
Poderá encontrar o anúncio original publicado em: https://www.itjobs.pt/oferta/509056/generative-ai-engineer