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