GMP - Consultant managing quality assurance systems in life sciences industry. Developing SOPs, conducting risk analyses, and ensuring compliance in various pharmaceutical processes.
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
Job title
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