Required Skills

Languages: Python (primary), TypeScript / JavaScript

Frameworks: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, PyTorch, Hugging Face

Vector DBs: Pinecone, Chroma, Qdrant, Vertex AI Vector Search, Weaviate

Foundation Models: Gemini, Claude, GPT, DeepSeek, open-source models (Llama, Mistral)

Cloud & Ops: GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker), Docker, Kubernetes

Required Qualifications

• Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience.
• 8+ years in software or infrastructure engineering, including 3+ years as a AI engineer.
• Demonstrated production experience designing, building, and deploying agents on Gemini, Claude, or GPT — including tool/function calling, orchestration, and state management. Prototypes and demos do not qualify; we are looking for agents that survive real users.
• Strong grasp of cloud security fundamentals: identity, network segmentation, encryption, and secrets management.

Preferred Qualifications

• Hands-on experience with Vertex AI Agent Builder, Agent Development Kit, or Agent Engine, and with deploying against Gemini Enterprise.
• Experience with agent frameworks and protocols such as LangGraph, MCP (Model Context Protocol), or equivalent tool-integration standards.
• Experience evaluating agent quality systematically — task benchmarks, regression suites, and failure analysis — rather than by manual spot-checking.
• Practical experience with Claude Code and authoring Claude Skills in a team setting.
• Experience with Vertex AI beyond inference: pipelines, model registry, feature store, and evaluation tooling.
• Data platform experience with BigQuery, Dataflow, Dataform, or Composer.