Job Title: Advanced LLM Engineer
Job Overview
We are seeking a highly skilled Advanced LLM Engineer to lead the development of innovative Retrieval-Augmented Generation (RAG) systems. This role involves designing and implementing intelligent chatbots, building scalable backend infrastructure, and integrating vector search technologies for semantic retrieval.
Job Responsibilities
- Design and implement multi-turn, agentic chatbot systems using LLMs.
- Build agent workflows leveraging frameworks like LangGraph or CrewAI.
- Develop backend architecture with PostgreSQL, including dynamic schema handling and query routing.
- Integrate vector search technologies for semantic retrieval.
- Design and manage robust APIs to support model inference, agent coordination, and data retrieval workflows.
- Manage cloud deployments with containerization, CI/CD, and monitoring on AWS, GCP, or Azure.
Job Requirements
- 3–5 years of experience in AI/ML engineering, with focus on LLM-based applications or chatbot systems.
- Proficient in Python, with experience in frameworks like LangChain, LangGraph, or similar.
- Expertise in PostgreSQL, including schema design and performance tuning.
- Familiarity with vector databases used in RAG pipelines.
- Solid understanding of cloud infrastructure and DevOps practices.
- Knowledge of data security and context management in AI applications.
Job Highlights
The role offers an opportunity to work on the forefront of AI research and development in a challenging environment, leading innovative projects in conversational AI.
Note: Ensure you highlight your experience with relevant frameworks and tools.