Key Facts

Remote From:

Anywhere

Full time

German, English, Russian

Hard Skills

Other Skills

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Communication
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Time Management
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Proactivity
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Quick Learning
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Problem Solving

Roles & Responsibilities

Node.js development experience (required)
Experience with AWS serverless architecture and tools
Experience with voice/text AI (STT/TTS) and real-time AI systems
Familiarity with system integrations (REST API, Webhooks, WebSocket) and CRM tools (Zoho CRM / Airtable) or willingness to quickly learn Zoho Deluge

Requirements:

Develop intelligent sales and lead management bots (voice + WhatsApp/Email) that conduct conversations, collect data, log CRM data, and schedule meetings; implement smart missed-call handling and calendar integration
Build and maintain marketing infrastructure for hypothesis prototyping, A/B/multivariate tests, dashboards, and funnel personalization to improve conversions
Deliver AI products for education and operations, including LMS quality control automation (Airtable + AI), an AI-based student practice simulator, and OCR-based document processing for contracts/NDA
Advance the development roadmap to create a proprietary set of autonomous agents and a marketing experimentation sandbox, with focus on reducing latency and costs

Job description

This is a remote position.

Negentrix Holding is an educational company with a mission to help people integrate into Germany through practical education and employment.

We operate three schools — IT Career Hub, DWW Akademie, and Beam Institute of Technology — where we train students for in-demand professions and support them all the way from choosing their career path to securing their first job.

Our audience consists of people for whom German is not their native language, but Germany is their new home. We know how to help them become part of society and succeed professionally.

We are currently looking for a part-time AI Solution Engineer to join our team.

About the Role

We are looking for an engineer who will go through the journey with us from using ready-made tools (Vapi, Make) to building our own infrastructure of autonomous AI agents.

Your goal is to build a high-performance system where a custom backend manages marketing, sales, and education — turning AI technologies into real business metrics.

Responsibilities

1. Intelligent Sales and Lead Management

End-to-end qualification:
Building AI bots (voice + WhatsApp/Email) that conduct conversations, collect data, fill in Zoho CRM, and schedule meetings.
Smart missed-call handling (Voice-to-Calendar):
AI answers incoming calls, уточняет a convenient callback time, automatically creates a calendar event for the manager, and logs a task inthe CRM.
Database reactivation:
Bots for warming up segmented exports, initiating contact, and converting leads into scheduled consultations.
AI quality control (replacement of Vaamo.ai):
Analyzing calls for script compliance, identifying pains/objections, and aggregating insights for marketing.

2. Marketing Infrastructure and Experiment Support

Hypothesis prototyping:
Rapid development of landing pages, quizzes, calculators, and micro-tools to validate marketing ideas.
A/B and multivariate testing:
Setting up infrastructure to launch different landing pages or offers for different audience segments.
Insights collection and reporting:
Automating data collection from ad accounts and communications; building marketing dashboards.
Funnel personalization:
Implementing models for dynamic offers on landing pages and in messages to increase conversion and LTV.

3. AI Products for Education and Operations

LMS Quality Control:
Automating lesson audits (Airtable + AI): from video transcription to report generation.
AI simulator:
Voice-based simulator for student practice with skill analysis.
Document Processor:
Auto-generation of contracts/NDA via OCR based on uploaded documents.

Requirements

Technology Stack:

AI: OpenAI API, Vapi.ai, ElevenLabs, Deepgram, and others.

Infrastructure: AWS, AWS Serverless, AWS AI.

Orchestration: n8n.

Systems: Zoho CRM, Airtable, Moodle (LMS), advertising platforms (FB, Google, etc.).

Development:

Node.js — required (for transitioning to our own architecture).

Zoho Deluge — highly desirable (or willingness to quickly learn): writing functions and workflows inside CRM.

Frontend (JS/TS) — desirable: experience with Zoho Widgets and building simple interfaces/landing pages.

Integrations: REST API, Webhooks, WebSocket.

Languages:

Native-level Russian.

English B2.

What We Expect:

AWS Expertise:
Experience building Serverless solutions. Understanding how to use AWS tools to scale AI functions.
Architectural approach:
Ability to build an MVP using low-code, with readiness to rewrite everything in code to reduce latency and costs.
Experience with Voice & Text AI:
Understanding of real-time AI specifics (STT/TTS, messaging platforms).
Growth engineering skills:
Ability not just to “set up a bot,” but to integrate it into team processes by configuring triggers, stages, and tasks.
Proactivity:
Experience building fault-tolerant systems. You should propose solutions that improve conversion, not just execute tasks.

Development Roadmap:

MVP:
Integration of Vapi + n8n + Zoho to solve urgent sales and marketing tasks.
Optimization:
Direct integrations (Vapi <-> CRM), custom Deluge scripts, automation of marketing dashboards.
In-house:
Building proprietary agents (LLM + TTS + STT) and creating a marketing experimentation “sandbox” that the team can use without involving a developer.

What We Offer

Work in a European company, but in a team where people speak your language.
A high degree of freedom, growth opportunities, and direct impact on architecture and business results.
Work at the intersection of AI, marketing, and product with real-scale challenges.
Remote work, schedule from 10:00 to 19:00 (CET).
Paid vacation and sick leave.
Salary: €2000–2500 per month.