AI Engineer

📋 Description

• Lead end-to-end AI/ML model development from data ingestion to deployment and monitoring.
• Build generative-AI solutions (RAG, agentic workflows, conversation agents) aligned with goals.
• Collaborate with data engineering to build data pipelines, feature stores and orchestration.
• Deploy AI models into production via APIs, microservices and cloud deployments.
• Optimize models for performance, scalability, robustness and cost.
• Monitor production models for drift, bias, fairness, and reliability; remediation as needed.

🎯 Requirements

• Bachelor’s or Master’s in CS, Engineering, Data Science, or related field.
• 3+ years hands-on AI/ML model development and deployment.
• Strong Python skills; experience with TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph.
• Experience with vector databases (Pinecone, FAISS), RAG and Agentic workflows.
• Experience building or fine-tuning Large Language Models (LLMs).
• Experience deploying models into production: REST APIs, microservices and monitoring.

🎁 Benefits

• Equal employment opportunities for all applicants.
• Values-driven culture: ELITE (Empowering, Leadership, Innovation, Teamwork, Excellence).
• Remote-friendly options for USA-based roles.
• Opportunity to work with state-of-the-art AI/ML tech.