Job Title: Conversational AI System Architect
Job Overview
We are seeking a highly skilled Sr. AI/ML Engineer to lead the development of advanced Large Language Model (LLM)-powered conversational systems. This role involves designing and building intelligent chatbots, creating scalable backend infrastructure, and implementing semantic retrieval with vector databases.
Key Responsibilities
- Design and implement multi-turn, agentic chatbot systems utilizing LLMs.
- Develop agent workflows leveraging frameworks such as LangGraph, LangFlow, or CrewAI.
- Create backend architecture with PostgreSQL, including dynamic schema handling and query routing.
- Integrate vector search technologies (e.g., pgvector, Milvus) for semantic retrieval.
- Design and manage robust APIs to support model inference, agent coordination, and data retrieval workflows.
- Ensure scalability, performance, and security across all deployed AI systems.
- Collaborate cross-functionally to align AI capabilities with product and business goals.
Required Qualifications
- 3–5 years of experience in AI/ML engineering, focusing 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 (e.g., pgvector, Milvus) in Retrieval-Augmented Generation (RAG) pipelines.
- Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and DevOps practices (Docker, Kubernetes, CI/CD).
- Knowledge of data security, and context management in AI applications.
- Experience with Model Context Protocol (MCP) server is an added advantage.
Job Highlights
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