Remote Senior Client-Facing Engineer, Gemini Enterprise Agents

AuxoAI Engineering; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

AuxoAI Engineering is seeking a Senior Forward Deployed Engineer to turn client use cases into production-ready agents. You\'ll work embedded with the client, building agents, tools, and context graphs, and grounding them on Gemini Enterprise Platform using ADK templates and cloud services.

You will evaluate agent trajectories, deploy to Cloud Run or GKE, collaborate with client engineers, and ensure a handoverable, trusted solution with observability, governance, and data integration.

Qualifications

• Master's or Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience.
• 6+ years building and shipping production software or data / ML systems, with strong Python.
• Hands-on experience building LLM agents with a code-first framework (ADK preferred; LangGraph, CrewAI, LlamaIndex or Amazon Bedrock Agents accepted) — including tools, retrieval grounding and evaluation.
• Strong BigQuery and SQL, and hands-on experience with at least one graph store (Spanner Graph, BigQuery graph, Neo4j or equivalent).
• Built at least one data pipeline in production (Dataform, Dataproc / Spark, dbt or equivalent) and worked with a streaming / eventing system (Pub/Sub or equivalent).
• Deployed services to a managed or container runtime (Cloud Run, GKE, Kubernetes or equivalent) with infrastructure-as-code (Terraform).
• Client-facing or embedded delivery experience — able to pair with a client's engineers and hand over cleanly.

Responsibilities

• Build agents ground-up in ADK and by forking and hardening Agent Garden templates — defining instructions, model selection, tools, orchestration and grounding.
• Select and bind models per agent or per step for cost and latency; implement structured output, thinking-level and safety configuration.
• Run evaluation and simulation before ship — trajectory and response metrics, synthetic-user simulation — and act on Agent Optimizer findings.
• Build MCP servers to expose client systems and data as agent tools; integrate off-the-shelf and third-party MCP servers; wire OpenAPI and Google Cloud toolsets.
• Implement multi-agent (A2A) hand-offs where the design calls for them.
• Build the context-graph foundation on BigQuery graph (GQL) and/or Spanner Graph, and the retrieval / grounding path that connects it to agents.
• Build and operate the supporting data stack: BigQuery models, Dataform pipelines, Dataproc jobs and Pub/Sub streams, with cataloguing, lineage and classification in Dataplex Universal Catalog / Knowledge Catalog.
• Deploy agents to Agent Engine, Cloud Run or GKE via the Agents CLI and infrastructure-as-code; instrument observability; apply governance.

Skills

Python

LLM agents

Data pipelines

Education

Bachelor's or Master's in CS/Engineering

Tools

BigQuery

Spanner Graph

Terraform

Kubernetes

Job description

AuxoAI Engineering is seeking a Senior Forward Deployed Engineer to turn client use cases into production-ready agents. You\'ll work embedded with the client, building agents, tools, and context graphs, and grounding them on Gemini Enterprise Platform using ADK templates and cloud services.

You will evaluate agent trajectories, deploy to Cloud Run or GKE, collaborate with client engineers, and ensure a handoverable, trusted solution with observability, governance, and data integration.