Tech Lead | AI Engineer (LLM)

Description

Job Summary: We are seeking a senior technical professional to lead the development of a new LLM-based product, integrating generative AI into Trinks' core service offerings. Key Highlights: 1. Lead the development of a generative AI (LLM) conversational system 2. Design a scalable and secure architecture with integration into existing systems 3. Implement RAG-based solutions focused on context and accuracy **Description:** Responsibilities of the Role We seek a senior technical professional with hands-on 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 a generative AI (LLM) conversational system; Design a scalable and secure architecture integrated with Trinks' systems; Collaborate closely with Product, UX, Data, and Engineering teams; Implement Retrieval-Augmented Generation (RAG) solutions focused on context and accuracy; Define best practices for development, versioning, testing, and deployment of AI-powered 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 a plus); 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. 2511120202181691415