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Artificial intelligence development specialist (AI / Automation Specialist) in EDS Group

7 January

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EDS Group

EDS Group

0
0 reviews
Without experience
Dnipro
Full-time work

Translated by Google

Objective of the position:Research, pilot implementation and integration of AI and automation tools (n8n, LLM) into the company's business processes to improve operational efficiency.Requirements:Higher education, preferably technical.Experience of working with automation platforms (n8n, Make) from 1 year. Experience with API LLM (OpenAI, Anthropic) and Prompt Engineering.Knowledge and skills required:Deep understanding of LLM (Large Language Models) architecture and methods of interacting with

Objective of the position:

Research, pilot implementation and integration of AI and automation tools (n8n, LLM) into the company's business processes to improve operational efficiency.

Requirements:

  • Higher education, preferably technical.
  • Experience of working with automation platforms (n8n, Make) from 1 year. 
  • Experience with API LLM (OpenAI, Anthropic) and Prompt Engineering.

Knowledge and skills required:

  • Deep understanding of LLM (Large Language Models) architecture and methods of interacting with them (Prompt Engineering, RAG).

  • Knowledge of workflow automation platforms (preferably n8n, alternatively

    Make/Zapier".

    n8n using

    AI agents.

  • Development and testing of prompts (Prompt Engineering) for various business tasks

    (support, analytics, content generation).

  • Ability to analyze the business process "As Is" and design its automated

    version "To Be" using AI.

Terms jobs:

  • Flexible, result-oriented schedule.
  • Central office or full remote work (Remote).

Responsibilities

1. Research (R&D): constant monitoring of the market of AI tools, testing of new models and services for the needs of the company. 

2. Pilot implementation: implementation of "quick wins" (Quick Wins) — small automation projects using AI (for exampleorder, automatic classification of incoming letters, AI-assistant for the knowledge base). 

3. Process integration: development of stable workflows in n8n that combine existing company systems (CRM, messengers, mail) with AI models. 

4. LLM Optimization:tuning and testing different models to achieve the best query quality and cost (choice between GPT-4, Claude, Gemini or local models). 

5. Working with data: preparation and structuring of data for training or use in RAG systems (Retrieval-Augmented Generation). 

6. Training: advising company employees on the effective use of AI tools in their daily work. 

7. Analysis of the effect: calculation of the economic effect of the implemented tools (time saved by employees, speed of application processing).

Translated by Google

Without experience
Dnipro
Full-time work
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