Design, build, and deploy AI agents to automate IT and business workflows with reliability.
Implement model validation, monitoring, and fail-safes to curb risky outputs.
Architect secure data pipelines (ingest, storage, access controls, encryption).
Develop MCP servers and tooling to surface insights and help teams act on outputs.
Integrate observability and telemetry for rapid incident detection and resolution.
Build role-based APIs to safely interact with agents and workflows.

🎯 Requirements

AI-first practitioner focused on accelerating decisions with AI.
5+ years software engineering; 2+ years ML/AI products or agents.
Strong Python; familiarity with Go/Java/TypeScript.
Experience with LLMs, prompt engineering, RAG, and vector stores.
Experience with PyTorch/TensorFlow and model evaluation.
Cloud experience (AWS/Azure/GCP), Kubernetes, Docker, Terraform.

🎁 Benefits

Life at Box overview and general perks.
Box hybrid work model; 3 days in office weekly.

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