Growth Engineer

🔥 12 hours ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Incode Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $220M Series B on 2021-12

Consulting • Healthcare • Logistics

Incode Technologies is a leading provider of identity verification solutions, renowned for its advanced technology in combating fraud and ensuring compliance with global standards. The company specializes in facial recognition, document verification, and liveness detection technologies to provide seamless and secure user experiences. Incode's proprietary machine-learning models are used to prevent identity theft, reduce fraud, and enhance the security of digital interactions. Their services cater to various industries including finance, online gaming, and telecommunications, offering automation in AML compliance and user onboarding processes. Recognized for its exceptional accuracy and security, Incode stands as a visionary leader in the identity verification space.

📋 Description

• Design, build, and ship production LLM agents that generate and qualify pipeline across outbound, inbound, and event motions • Implement scoped skills, guardrails, human-in-the-loop checkpoints, and multi-agent handoffs • Build and operate MCP servers and clients connecting agents to Salesforce, Outreach, Supabase, ZoomInfo, Notion, and Slack • Own authentication, token scoping, pagination, rate limiting, and graceful failure for integrations • Build schema-aware retrieval, reconciliation checks, evaluation harnesses, and regression tests • Implement routing, scoring, trigger logic, webhooks, scheduled jobs, and event-driven pipelines • Build web apps, dashboards, and interactive reporting for BDRs and leadership • Write runbooks, skill specifications, and architecture documentation • Enable GTM operators to extend and maintain the agent fleet • Support revenue teams across NAM, LATAM, and EMEA • Measure outcomes through qualified pipeline, meetings held, and hours returned to the revenue team

🎯 Requirements

• 4+ years professional software engineering • 1+ year building and shipping LLM-powered applications or agents to production, used daily by non-engineers • Strong Python and Node.js/TypeScript in production • React sufficient to build internal UI end to end • At least one internal application built start to finish, including data model, backend, interface, authentication, deployment, and maintenance • Hands-on experience with both Salesforce and HubSpot, including standard and custom objects, field-level behavior and validation, record ownership and sharing, REST and bulk APIs • Sales engagement platform experience with Outreach, Salesloft, or Apollo • Experience handling revenue-data quality issues such as duplicates, stale ownership, unenforced picklists, and half-migrated fields • Production experience with Postgres or Supabase, including schema design, migrations, indexing, query tuning, and row-level security • SQL fluency against a warehouse such as Redshift, Snowflake, or BigQuery, including window functions and incremental models • Experience reconciling metrics across two systems and explaining discrepancies to non-technical stakeholders • Experience designing, building, deploying, monitoring, and maintaining production automations • Experience with webhooks, queues, scheduled jobs, retries, idempotency, and backfills • Automation platform experience such as n8n, Tines, or Zapier-class tools • Routing, scoring, and decision logic implemented as tested code • Hands-on experience with MCP servers, clients, custom endpoints, or an equivalent tool-calling and agent framework • Production LLM API integration, including structured output, tool definitions, context management, and cost/latency tradeoffs • Prompt and skill design treated as versioned artifacts with evaluation methods • Cloud deployment ownership using AWS, containerized hosting, and CI/CD such as GitHub Actions • Experience with OAuth flows, token lifecycle and refresh, credential vaults, header authentication, and least-privilege scope review • Ability to walk through two or three previously built systems or applications

🏖️ Benefits

• Flexible Working Hours & Workplace • Open Vacation Policy • Promotions & Development • Continuous Feedback • Freedom & responsibility • Context, not control • Highly aligned, loosely coupled • Mission to shape how billions of people prove identity safely, simply, and ethically • Global team and cross-industry impact • Reasonable accommodations throughout the hiring process

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