Hybrid GenAI Consultant

at Syntax

• Job title: GenAI Consultant
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Docker, Kubernetes, Python
• Location requirements: Hybrid, Kosice, Slovakia

About the role

• GenAI Consultant implementing AI solutions focusing on Generative AI for various applications. Involves designing, deploying, and optimizing AI-driven processes at Syntax's technology delivery.

Responsibilities

• As a GenAI Consultant, you are responsible for the technical implementation of Generative AI (GenAI) use cases and solutions for internal and customer scenarios.
• Your primary focus is on designing, deploying, and optimizing GenAI agents, selecting appropriate Large Language Models (LLMs), developing knowledge bases, integrating data sources, selection and setup of agent-tools, and implementing AI‑driven process automation.
• Design, implement, and optimize GenAI agents aligned to use cases and business objectives.
• Evaluate and select suitable LLMs based on latency, context, compliance, and cost factors.
• Develop and fine tune prompts, system messages, and chains to ensure accuracy and performance.
• Build retrieval augmented generation (RAG) pipelines and implement prompt optimization workflows.
• Build and maintain knowledge bases by connecting to diverse data sources.
• Configure and manage MCP (Model Context Protocol) Servers or similar infrastructure to ensure system scalability and data security.
• Integrate backend systems via APIs, connectors, and automation frameworks.
• Identify and implement AI-driven automation and workflow orchestration opportunities.
• Collaborate with technical leads to embed AI capabilities into business and manufacturing processes.
• Define technical standards, reusable components, and reference architectures for GenAI solutions.

Requirements

• Consultant level (CONS3 or below) – typically 3–5 years total professional experience.
• Experience in software development, data/ML, cloud integration, or AI‑based solutions.
• Practical exposure to GenAI or LLM frameworks (1–2 years) or strong related experience in AI/ML implementation.
• Proficiency in Python.
• Understanding of LLM APIs, vector databases, and RAG designs.
• Experience with containerization (Docker, Kubernetes) and API development.
• Familiarity with embedding models, data pipelines, and AI orchestration frameworks.
• Advantageous: DevOps/AWS experience or interest in developing these skills.
• Degree in Computer Science, Engineering, Data Science, or related technical discipline - or equivalent hands-on experience in AI, ML, or software development.
• Professional proficiency in English (German beneficial but not mandatory).

Benefits

• Competitive, above-average compensation
• Global tourist: With us, you can also work from abroad from time to time
• Flexible working time models, home office
• Attractive benefits, e.g. company pension scheme or various health offers
• A modern environment in which the 'you' is part of it
• Open feedback culture, flat hierarchies and a motivated team
• Individual career planning with continuous training and coaching on the job