Role: AI Engineer

Remote

Generic Skills (Must Have)

Python, FastAPI, REST APIs, async processing.

LLM application development

RAG implementation with vector databases

Prompt engineering, tool calling, function calling, structured outputs.

LLM security: prompt injection, data leakage, access control, guardrails.

GCP Skills (Must Have)

VertexAI : Alternative vector databases: Vector Search, Pinecone, Weaviate, FAISS, Chroma, pgvector, or equivalent.

gemini

Agent Orchestration using ADK: Alternatives: LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or equivalent.

Cloud Run: Production deployment on Cloud Run, GKE, or equivalent.

Evaluation using Vertex AI : Alternatives: Evals, RAGAS, custom eval frameworks, golden datasets, regression tests.

Nice to have (Trainable)

Google Agent Development Kit.

Agent Engine / Gemini Enterprise Agent Platform.

Model Armor.

Agent observability and tracing.

Multi-agent architecture.

Human-in-the-loop approval flows.

Enterprise knowledge graph / search integration.