AI Engineer, EVA.AI

• Education: Bachelor’s degree in Computer Science or a related field (or equivalent experience)
• Language: English
• Knowledge of LLMs, Generative AI (GPT, Llama, etc.)
• Proficiency in Python, TensorFlow, PyTorch, LangChain, OpenAI APIs
• Experience with fine-tuning and deploying LLMs on cloud platforms (AWS)
• Hands-on experience with Retrieval-Augmented Generation (RAG), vector databases
• Experience integrating AI models into applications via APIs or microservices
• Experience designing and optimizing AI prompts for LLM-based applications
• 30 hours a week availability

Desirable

• We are looking for an AI Engineer to design, develop, and deploy LLM-based AI solutions, including chatbots, and autonomous AI agents. This role requires hands-on experience in Generative AI, Large Language Models (LLMs), and AI-powered automation
• As an AI Engineer, you will be responsible for fine-tuning models, implementing Retrieval-Augmented Generation (RAG), integrating AI systems via APIs, and optimizing performance for production environments
• Develop and fine-tune LLMs, AI Agents, and Generative AI models for real-world applications
• Implement RAG (Retrieval-Augmented Generation), prompt engineering, and optimization techniques
• Integrate AI models with APIs, databases, and business applications
• Optimize AI model performance for accuracy, efficiency, and scalability
• Stay updated on the latest AI advancements and experiment with state-of-the-art techniques
• Write code. SOLID practices, all sorts of tests, and pair reviews
• Talk to people. We’re quite flat, so depends on the service and feature you will be working with product analysts, customer success, designers, and obviously other developers
• Participate in SCRUM. Especially retros
• Vertical growth:
• Architecture
• Ability to become Lead Developer after some time and take responsibility for 1 or more microservices
• Product owner of 1 or more services