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# Senior Platform Engineer, Agentic Systems

- **Company:** Benjamin
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, BigQuery, Cloud Computing, Software Debugging, Github, Python (Programming Language), PostgreSQL, Operational Databases, SQL Databases, TypeScript, Snowflake, Multi-Agent Systems, Model Validation, Git, Kubernetes, Terraform, Docker
- **Published:** July 25, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=cd7f8d0df974a550

## About the Role

* Direct experience building and operating agentic systems in production
 * Hands-on ownership of substantial parts of an agent runtime, harness or orchestration platform
 * Experience with agents that perform multi-step work through tools and external systems
 * Strong understanding of agent failure modes, including looping, tool misuse, context loss, false completion and partial execution
 * Experience with durable state, suspension, resumption and recovery
 * Experience building agent evaluations, trajectory analysis or regression suites
 * Experience debugging production behavior from traces, tool calls and execution history
 * Strong judgment about when to use model reasoning, deterministic logic or human review
 * A record of shipping ambitious agent capabilities and owning their production performance

Our stack

 * Data: Snowflake, BigQuery, Postgres, dbt
 * Cloud/infra: AWS (GCP), Terraform, Docker
 * Languages: Python, SQL, TypeScript
 * Tooling: Hex, GitHub Actions, Git, Airbyte, Claude

You won't have used every tool here, and you don't need to. Strong engineering fundamentals and experience operating production data systems matter more than matching the stack.

## Description

* Agent runtime and orchestration architecture
 * Multi-step planning, task decomposition and execution control
 * Model selection, routing and fallback
 * Tool selection, invocation and result verification
 * Agent state, context, memory and durable resumption
 * Human-in-the-loop controls for ambiguity and high-risk actions
 * Recovery from model, tool and workflow failures
 * Tracing, replay and debugging across agent trajectories
 * Evaluations for task completion, correctness, safety and regression
 * Guardrails, permissions and approval flows
 * Platform primitives used to build additional agents and workflows


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