AI Engineer

Job Description

Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain Work with vector databases like Pinecone to manage and query highdimensional data Build and maintain machine learning pipelines for data processing and model deployment Utilize ML frameworks including XGBoost and PyTorch for model development and training Design and optimize data processing workflows using SQL and other pipeline tools Integrate and manage APIs to support AI applications and services Collaborate with crossfunctional teams to deliver scalable AIdriven products

Roles and Responsibilities

• Design develop and deploy AI and machine learning models using Python and relevant AI stacks
• Manage vector databases to enhance data retrieval and storage efficiency
• Build robust ML pipelines to automate data ingestion preprocessing and model training
• Apply advanced ML frameworks such as XGBoost and PyTorch for predictive analytics
• Develop data processing solutions involving SQL and pipeline orchestration
• Create and maintain APIs for seamless integration of AI components
• Collaborate with data scientists engineers and stakeholders to ensure project success
• Continuously monitor and improve AI system performance and scalability

Skills

• Mandatory Skills : Agentic Framework, GenAI - LLMOps, MLOPS