AI Engineer

Introduction:

An AI Engineer is responsible for designing, implementing, and optimizing AI-powered features within a product. This role involves owning the end-to-end lifecycle of AI features, implementing AI systems, building agent-based workflows, conducting experimentation and evaluation, collaborating with cross-functional teams, and ensuring AI reliability, safety, and governance.

Responsibilities:

• Design and implement AI-powered features such as LLM workflows, copilots, and agent-based systems with multi-step reasoning.
• Own the full lifecycle of AI features from prototyping to production deployment and iteration.
• Build and optimize prompt pipelines for specific use cases.
• Implement RAG-based workflows as needed.
• Design scalable and cost-efficient AI architectures for production workloads.
• Run structured experiments to compare different AI approaches.
• Drive technical direction and influence AI adoption across teams.
• Design guardrails to ensure safe and reliable AI behavior.

Requirements:

Required Skills: Access Control, Reasoning, Regulatory Compliance, SAFE, Mentorship, Privacy, Prototyping, Artificial Intelligence, Debugging, Evaluation, Technical Direction, Use Cases, Workflow

Preferred Skills: Open Source