Growth Engineer
Incode Technologies is an AI-powered identity verification and fraud prevention company. It provides identity, biometric, liveness, KYC/KYB, authentication, age assurance, and deepfake-defense solutions for global enterprises across financial services, fintech, marketplaces, government, healthcare, telecommunications, gaming, and other industries.
Funding history
Projects
About Incode Technologies, Inc.
Incode develops and operates an enterprise identity platform for verifying users, businesses, employees, and AI agents. Its offerings include document and biometric verification, facial recognition, liveness and deepfake detection, government-record matching, sanctions and PEP screening, risk decisioning, configurable workflows, case management, analytics, integrations, APIs, SDKs, and privacy-preserving on-device processing. The company serves organizations in financial services, fintech and crypto, commerce, marketplaces, public sector, healthcare, travel, telecommunications, gaming, social media, and related sectors.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, deploy, and maintain production LLM agents and workflow automation for pipeline generation. You will build MCP integrations and internal tools, ensure data integrity through evaluation and testing, operate deployment infrastructure, and document systems so GTM operators can use and extend them.
Requirements
- 4+ years of professional software engineering experience
- 1+ year building and shipping production LLM-powered applications or agents
- Strong production Python and Node.js or TypeScript skills
- React skills sufficient to build internal user interfaces
- Experience building an internal application from data model through deployment and maintenance
- Hands-on experience with Salesforce and HubSpot
- Experience with sales engagement platforms such as Outreach, Salesloft, or Apollo
- Production experience with Postgres or Supabase
- SQL fluency with data warehouses
- Experience designing, deploying, monitoring, and maintaining production automation
- Experience with webhooks, queues, scheduled jobs, retries, idempotency, and backfills
- Experience with automation platforms such as n8n, Tines, or Zapier
- Experience with MCP or equivalent tool-calling and agent frameworks
- Production LLM API integration experience
- Cloud deployment, AWS, containerized hosting, and CI/CD experience
- Knowledge of OAuth, token lifecycle management, credential vaults, header authentication, and least-privilege scopes
Responsibilities
- Design, build, and ship production LLM agents for pipeline generation and qualification
- Build and operate MCP servers and clients connecting agents to business systems
- Implement authentication, token scoping, pagination, rate limiting, and graceful failure handling
- Build schema-aware retrieval, reconciliation checks, evaluation harnesses, and regression tests
- Implement routing, scoring, trigger logic, webhooks, scheduled jobs, and event-driven pipelines
- Build internal web applications, dashboards, and interactive reporting
- Write runbooks, skill specifications, and architecture documentation
- Enable GTM operators to extend agent systems
Benefits
- Flexible working hours and workplace
- Open vacation policy