AI Engineer

📋 Description Design, build, and deploy ML models with Python and PyTorch for enterprise use. Create AI agent workflows with LangChain, LiveKit, OpenAIAgentsSDK. Define agent behavior using MCP, Guardrails, and structured instructions. Use AWS Bedrock as primary LLM; enable RAG with embeddings. Automate AI workflows with n8n for rapid prototyping and orchestration. Train and deploy ML models at scale with AWS SageMaker. 🎯 Requirements Bachelor’s or Master’s in CS, Data Science, Engineering, or related field. 4+ years of ML/AI engineering experience deploying models at scale. Strong Python programming; NLP and LLMs proficiency. Hands-on AWS (SageMaker, Bedrock, EMR) or equivalents. Production-grade code with version control, testing, CI/CD. Excellent communication and collaboration; English proficiency. 🎁 Benefits Premium medical package Lunch Tickets & Pluxee Card Bookster subscription Flexible working program and openness to remote work Access to learning platforms and certifications Career growth through mentorship and professional development