AI Engineer (LLM)

Description

Job Summary: We are seeking a senior technical professional with experience in generative AI and software engineering to lead the development of a new product based on LLMs. Key Highlights: 1. Lead and develop a generative AI (LLM) conversational system 2. Design scalable and secure architecture 3. Implement RAG-based solutions **Description:** Responsibilities of the Opportunity We seek a senior technical professional with experience in generative AI and software engineering to lead the development of a new product based on large language models (LLMs), integrating artificial intelligence into Trinks' core service offerings. **Take a look at your role in this \#revolution:** Lead and develop the creation of a generative AI (LLM) conversational system; Design scalable and secure architecture integrated with Trinks' systems; Collaborate closely with Product, UX, Data, and Engineering teams; Implement RAG (Retrieval\-Augmented Generation) solutions focused on context and accuracy; Define best practices for development, versioning, testing, and deployment of AI solutions; Monitor model performance, cost, and security in production. Requirements **What you need for the \#perfectmatch:** Proven experience in software engineering; Practical experience with LLMs (OpenAI, Claude, Mistral, etc.); Proficiency in Python (C\#/.NET experience is desirable); Knowledge of LangChain, LlamaIndex, or similar frameworks; Understanding of cloud architecture (AWS preferred); Familiarity with asynchronous/event-driven systems (Kafka, SQS, etc.). **Nice-to-have skills:** Experience leading or developing projects involving generative AI and conversational agents. Knowledge of prompt engineering, embeddings, vectors, and light fine\-tuning. Experience with hallucination control and security mechanisms for LLMs. 2512120202501917010