Operations AI Engineer – Contract

Job not on LinkedIn

🕒 June 25

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Front

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

☁️ SaaS

🏢 Enterprise

SaaS • Enterprise • Customer Support

Front is an AI-powered customer service platform designed to enhance collaboration and provide omnichannel support across various communication tools such as email, chat, SMS, and more. It allows teams to work together in real time to resolve customer inquiries quickly and efficiently, employing AI and automation to improve workflow and customer experience. With features like live chat, ticketing, a knowledge base, and integrated analytics, Front provides businesses with the tools needed to offer exceptional customer support and collaboration, driving customer satisfaction and repeat business. Trusted by over 9,000 businesses, Front aims to streamline communication and improve team productivity.

📋 Description

• Design and ship multi-step, production-grade AI agents that automate complex GTM workflows end-to-end (not single prompts or prototypes) • Translate business requirements into robust agent architectures, including state management, tool use, orchestration, and guardrails • Build multi-agent systems where specialized agents collaborate, hand off work, and maintain context across workflow stages • Integrate agents with Salesforce APIs (read/write), mapping object models (Leads, Contacts, Opportunities, custom objects) and handling authentication securely • Connect agents to structured business data in Snowflake and reason over it reliably at runtime (with a strong semantic layer mindset) • Partner with IT/Security and Data Engineering counterparts to align on infrastructure, access controls, and production readiness • Define and improve reliability patterns: error handling, fallback behaviors, output validation, monitoring, and post-launch iteration • Deliver in an agile cadence with proper review gates across dev → staging → QA → production (no solo deploys) • Production agentic systems experience: You’ve shipped at least one multi-step AI agent to production that real users rely on daily, and can explain architecture, failure modes, and how you improved it post-launch

🎯 Requirements

• Multi-agent orchestration: Hands-on experience building systems where multiple agents collaborate (e.g., LangGraph, CrewAI, AutoGen, or equivalent patterns) • CRM + business systems integration: Deep comfort integrating with Salesforce via APIs, including auth, object models, and real-world GTM workflows • LLM API proficiency: Strong hands-on experience with Anthropic Claude, OpenAI, or equivalent — tool use/function calling, context management, and reliable parsing in production • GTM domain knowledge: Working understanding of how Sales, CS, Marketing, and RevOps operate (deal cycles, renewals, pipeline, customer health, partner workflows, revenue reporting) • Security-aware architecture: Ability to design for RBAC, data isolation, and auditability; familiarity with auth patterns like OAuth/JWT/SSO (Okta experience is a plus) • Python (production quality): Strong Python with async patterns, logging/observability, error handling, and deployment considerations • Workflow automation + API integration: Experience building reliable integrations across external systems; familiarity with tools like Workato/Zapier is a plus (we use Workato as our MCP integration layer) • Data warehouse connectivity: Experience building agents that query Snowflake (or equivalent) and reason over structured data safely and consistently • Requirements translation: You think in systems and workflows, push back on weak requirements, and propose better approaches grounded in production reality.

🏖️ Benefits

• Competitive monthly rate in USD • This role is remote from Argentina and must overlap with US Pacific time hours for syncs, reviews, and stakeholder sessions.