Senior AI Systems Engineer

📋 Description

• Design, build and operate ML and GenAI features end to end.
• Build LLM-powered apps incl. RAG pipelines and agent workflows.
• Create evaluation frameworks for GenAI systems.
• Implement guardrails for GenAI apps and responsible AI.
• Apply MLOps: versioning, testing, A/B testing, drift detection.
• Mentor mid-level engineers on ML practices.

🎯 Requirements

• Bachelor's/Master's in CS, Math or related field.
• 5+ years SWE, 3+ years ML model deployment.
• Strong Python and ML frameworks like PyTorch/TensorFlow.
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with RAG systems, vector DBs, and retrieval.
• Experience with CI/CD for ML and rollback strategies.

🎁 Benefits

• Flexible hybrid work approach.
• Chance to do purpose-driven work.