Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Incode Technologies

Growth Engineer

Incode Technologies

. Design, build, and ship production LLM agents that generate and qualify pipeline across outbound, inbound, and event motions .

Posted 11/2/2026full-timeRemote • MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying LLM-powered applications, integrating with platforms like Salesforce and Outreach, and ensuring data quality across revenue systems. Proficient in Python, Node.js, and SQL, with a strong focus on automation and production-level software engineering.

Highest-signal resume keywords
LLM-Powered Application DevelopmentPython and Node.js/TypeScript ProficiencySalesforce and HubSpot IntegrationProduction Automation ExperienceSQL Fluency with Data Warehousing

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonNode.jsTypeScriptSQLPostgresSupabaseReactProduction AutomationLLM API IntegrationOAuth Flows
Soft Skills
Collaboration with Non-Technical StakeholdersDocumentation Writing
Tools & Technologies
SalesforceOutreachZoomInfoNotionSlackAWSGitHub ActionsN8nTinesZapier
Industry Keywords
Revenue Data QualityEvent-Driven PipelinesSchema DesignData ModelIntegration Testing

Tech Stack

Tools & technologies
Amazon RedshiftApolloAWSBigQueryCloudJavaScriptNode.jsPostgresPythonReactSnowflakeSQLTypeScript

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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