Operations AI Engineer – Contract

This is a fully remote position, open to applicants in Chile.

📋 Description

• Create and deploy multi-step, production-ready AI agents that streamline intricate go-to-market workflows from start to finish (not just single prompts or prototypes).

• Convert business needs into solid agent architectures that encompass state management, tool utilization, orchestration, and safety measures.

• Develop multi-agent systems where specialized agents work together, transfer tasks, and retain context through different stages of the workflow.

• Integrate agents with Salesforce APIs (read/write), aligning object models (Leads, Contacts, Opportunities, custom objects) and ensuring secure authentication.

• Link agents to structured business data in Snowflake and enable reliable reasoning over it during runtime (with a strong emphasis on semantic layers).

• Collaborate with IT/Security and Data Engineering teams to ensure alignment on infrastructure, access controls, and readiness for production.

• Establish and enhance reliability patterns including error handling, fallback strategies, output validation, monitoring, and iterative improvements post-launch.

• Deliver work in an agile manner with appropriate review checkpoints throughout the development process → staging → QA → production (no solo deployments).

• Experience in deploying production agentic systems: You have delivered at least one multi-step AI agent that is actively used by real users daily and can articulate its architecture, potential failure points, and improvements made post-launch.

⛳️ Requirements

• Multi-agent orchestration: Practical experience in constructing systems where multiple agents cooperate (e.g., LangGraph, CrewAI, AutoGen, or similar methodologies).

• CRM and business systems integration: Strong familiarity with Salesforce API integration, covering authentication, object models, and real-world go-to-market workflows.

• LLM API expertise: Extensive hands-on experience with Anthropic Claude, OpenAI, or comparable services — including tool utilization/function calling, context management, and reliable parsing in production environments.

• Go-to-market domain expertise: A solid understanding of the operations within Sales, Customer Success, Marketing, and Revenue Operations (deal cycles, renewals, pipelines, customer health, partner workflows, revenue reporting).

• Security-conscious architecture: Capability to design with RBAC, data isolation, and auditability in mind; familiarity with authentication patterns such as OAuth/JWT/SSO (experience with Okta is a bonus).

• Proficiency in Python (production-ready): Strong skills in Python with asynchronous programming patterns, logging/observability, error handling, and deployment considerations.

• Workflow automation and API integration: Experience in developing reliable integrations across external systems; familiarity with tools like Workato/Zapier is an advantage (we utilize Workato as our MCP integration layer).

• Data warehouse connectivity: Experience in building agents that can query Snowflake (or similar) and reliably reason over structured data.

• Requirements interpretation: You think in terms of systems and workflows, challenge vague requirements, and suggest more effective solutions grounded in production realities.

🏝️ Benefits

• Equal employment opportunities for all employees and applicants.

• Options for remote work.