AI Automation Engineer
Databricks2 days ago
San José, Costa RicaSenior
Responsibilities
- Build, deploy, and operate AI agents that interpret natural-language employee requests, gather context, select tools, execute actions, and communicate outcomes.
- Maintain MCP servers across the AI tools portfolio.
- Create agentic workflows with multi-step execution, failure handling, human approvals, and resumable processing.
- Ground agents in trusted internal knowledge such as policies, runbooks, system documentation, and SOPs.
- Convert high-volume, repetitive IT support interactions into reliable AI-powered self-service experiences.
- Instrument AI automations with logs, metrics, traces, and feedback loops.
- Implement identity governance, tool RBAC, human-in-the-loop approvals, audit trails, credential vaults, event ingestion, scheduling, and state management.
- Partner cross-functionally to identify automation opportunities and take solutions from prototype through production.
- Write and maintain technical documentation covering system designs, operational procedures, and architectural decisions.
Requirements
- Proficiency in Python.
- Experience with Git-based development, automated testing, REST APIs, OAuth2 or authentication frameworks, event-driven integrations, and enterprise system integrations.
- Experience shipping production LLM-powered applications or AI agents.
- Experience with tool or function calling, multi-step workflows, context management, RAG, structured outputs, and plan decomposition.
- Understanding of LLM failure modes including hallucinations, incorrect tool use, ambiguous intent, prompt injection, excessive permissions, and nondeterministic behavior.
- Experience evaluating and improving AI systems through automated evaluations, traces, test datasets, or human feedback.
- Ability to translate ambiguous employee-friction problems into reliable technical solutions with strong judgment around security, privacy, least privilege, and safe automation.
- Experience with automation or integration platforms such as Tines, MuleSoft, or Workato.
- Experience developing MCP servers.
- Preferred experience with Databricks Agent Bricks, OpenAI Agents SDK, LangGraph, LangChain, MLflow tracing or evaluation, vector search, LLM observability, and integrations with enterprise IT platforms.
- Preferred familiarity with identity lifecycle, access management, device management, and software provisioning.
Benefits
- Databricks offers comprehensive benefits and perks, with region-specific details provided through the company benefits information.
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.