Senior Consultant Generative AI & Agentic AI 60-100%

Eraneos is an international strategy, transformation and technology consulting group, dedicated to empowering organizations to thrive in an ever-changing digital age. By bringing together top-tier experts from business and tech, we help clients to continuously raise the bar in successful transformations, from strategy to execution. Whether we’re designing future-ready organizations, unlocking the potential of data and AI, or securing businesses with cutting-edge cybersecurity, we deliver results pragmatically. Our team of around 1,200 dedicated professionals is based in offices across Switzerland, Germany, the Netherlands, Spain, Denmark, Sweden, Austria, the UK, Singapore, and the USA, and seamlessly blends global perspectives with strong local roots. Around 450 employees work at our Swiss locations in Zurich, Bern and Lausanne.

That’s the job – Your main tasks:

• End-to-End Development: You drive AI solutions across the full lifecycle - from rapid prototyping and proof-of-concept to deployment in scalable, highly available production environments. 

• AI Services Engineering: You build robust backend services in Python that seamlessly integrate state-of-the-art LLMs and perform reliably under production load.

• Autonomous Agent Architecture: You design and implement intelligent agent systems that automate real-world workflows through tool calling and memory management, operating safely within defined guardrails. 

• Agentic SDLC: You integrate AI agents into the development lifecycle - from AI-assisted coding and code reviews to automated testing and intelligent documentation - enhancing efficiency across the entire software development process through agentic tools.

• Ensuring Software Excellence: You take ownership of code quality by applying clean architecture principles, implementing automated testing, and establishing efficient CI/CD pipelines to ensure smooth and reliable deployments.

• Evaluation & Monitoring: You implement frameworks to measure the performance of GenAI solutions (e.g., accuracy, latency, cost) and ensure continuous optimization.

• Consulting: You work directly with clients - facilitating workshops and acting as a sparring partner for business and management stakeholders. You translate complex AI concepts into tangible business impact and co-create the right solutions. 

• Technology Sparring: You assess technical feasibility and advise stakeholders on how to turn innovative ideas into sustainable, production-ready products. 

This job is for you, if you have:

• Excellent Python Skills (Production-Ready): You have strong expertise in API development (e.g., FastAPI, Pydantic), containerization, testing (unit and integration), as well as Git and CI/CD - well beyond notebook-based scripting. 

• Rapid Prototyping: Ability to quickly build and visualize demos and proof-of-concepts. 

• Strong Architectural Understanding: You apply solid principles, Clean Architecture, dependency injection, and async/concurrency patterns in a structured way, and leverage ORMs (e.g., SQLAlchemy) for clean and efficient database interactions. 

• Hands-on Experience with Multimodal LLM APIs: Proficient in working with leading models (e.g., OpenAI, Anthropic) and cloud platforms (e.g., Azure OpenAI, AWS Bedrock). 

• Advanced GenAI Engineering: Strong command of prompt engineering, structured outputs (JSON), and tool/function calling. 

• RAG Expertise (End-to-End): Experience in building full pipelines - from embeddings and vector databases (e.g., pgvector) to advanced retrieval, re-ranking, and evaluation. 

• Agent Development: Experience in designing and orchestrating autonomous systems (e.g., with Pydantic AI), including memory management and guardrails. 

• Consulting Skills: Experience working directly with clients. You are able to facilitate workshops, present results, and confidently navigate complex stakeholder environments. 

• Languages: Fluent in German (C1), with professional proficiency in English.

• Education: Completed degree in Computer Science, Mathematics, Physics, Data Science, Information Systems, or a comparable field (Bachelor’s degree or higher).

As the icing on the cake, you bring along  

• You have experience in cloud environments, ideally with cloud certifications for Azure, AWS, or GCP.