Job Description
Were hiring on behalf of our client who is seeking a highly skilled AI & Machine Learning Engineer to lead the development of cutting-edge Conversational AI systems integrating LLMs, LangChain, RAG, and SQL into high-impact solutions that automate customer support, business intelligence, and seller operations.
Key Responsibilities:
Architect and deploy AI solutions that integrate with SQL databases and process unstructured data effectively.
Build and maintain intelligent chatbots and virtual assistants that automate workflows and provide real-time insights.
Design and optimize data ingestion pipelines for structured and unstructured data.
Collaborate with cross-functional teams to embed AI into core business systems.
Define and track performance metrics to continuously improve accuracy and system responsiveness.
Qualifications:
Solid experience in AI/ML development, particularly with LLM-powered tools like LangChain and Retrieval-Augmented Generation (RAG).
Advanced Python and SQL skills with the ability to rapidly prototype and deploy solutions.
Demonstrated projects (e.g., chatbot or text-to-SQL tools) showcasing integration of structured data into conversational AI.
Experience building AI agents that handle complex interactions and automate decision-making.
Familiarity with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines.
Strong analytical thinking and adaptability in fast-paced environments.Were hiring on behalf of our client who is seeking a highly skilled AI & Machine Learning Engineer to lead the development of cutting-edge Conversational AI systems integrating LLMs, LangChain, RAG, and SQL into high-impact solutions that automate customer support, business intelligence, and seller operations.
Key Responsibilities:
Architect and deploy AI solutions that integrate with SQL databases and process unstructured data effectively.
Build and maintain intelligent chatbots and virtual assistants that automate workflows and provide real-time insights.
Design and optimize data ingestion pipelines for structured and unstructured data.
Collaborate with cross-functional teams to embed AI into core business systems.
Define and track performance metrics to continuously improve accuracy and system responsiveness.
Qualifications:
Solid experience in AI/ML development, particularly with LLM-powered tools like LangChain and Retrieval-Augmented Generation (RAG).
Advanced Python and SQL skills with the ability to rapidly prototype and deploy solutions.
Demonstrated projects (e.g., chatbot or text-to-SQL tools) showcasing integration of structured data into conversational AI.
Experience building AI agents that handle complex interactions and automate decision-making.
Familiarity with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines.
Strong analytical thinking and adaptability in fast-paced environments.