Forward Deployed Engineer - Enterprise AI Transformation - Munich - 150k

Next Ventures; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Next Ventures is seeking engineers to operate at the intersection of AI, engineering, and enterprise transformation strategy in Munich. You will design, build, and scale AI applications across workflows, operations, and strategic decision-making processes, partnering with enterprise stakeholders and clients to deliver production-grade solutions.

You’ll work on LLM-powered applications, agentic workflows, and RAG architectures, embedding with client teams to understand pain points and drive

Qualifikationen

• Experience building production AI services with Python.
• Hands-on with LangChain, LlamaIndex, DSPy, Semantic Kernel.
• Experience with vector databases and AI agents.
• Experience in consulting or client-facing environments.

Aufgaben

• Build and deploy LLM-powered applications at scale.
• Design agentic workflows and AI copilots for enterprise processes.
• Collaborate with clients to translate business needs into technical solutions.
• Take prototypes to production and integrate with cloud infrastructure.

Kenntnisse

ML engineering

Python

Client-facing

Tools

LangChain

LlamaIndex

DSPy

Semantic Kernel

Vector databases

Jobbeschreibung

We’re looking for engineers who want to operate at the intersection of AI, engineering, and enterprise transformation strategy.

This role is for people who enjoy solving complex operational problems, working directly with clients, and deploying production-grade AI systems in high-impact environments.

You’ll work closely with enterprise stakeholders to design, build, and scale AI applications across workflows, operations, and strategic decision-making processes.

What you’ll work on:

• Building and deploying LLM-powered applications
• Designing agentic workflows and AI copilots
• Developing RAG architectures and orchestration systems
• Embedding directly with client teams to understand operational pain points
• Translating business ambiguity into scalable technical systems
• Taking solutions from prototype → production
• Working across cloud infrastructure, APIs, enterprise systems, and modern AI tooling

Core requirements:

• Strong software or ML engineering foundation with Python experience
• Hands‑on experience with modern AI tooling (LangChain, LlamaIndex, DSPy, Semantic Kernel, etc.)
• Experience with vector databases, retrieval systems, and AI agents
• Cloud experience across AWS / Azure / GCPConsulting experience is required
• Fluent German and English are required
• Strong communication skills and ability to operate in client‑facing environments

Nice to have:

• Experience at an AI-native company
• Background in digital strategy, digital transformation, or transaction advisory
• Exposure to private equity or enterprise transformation projects
• Experience operating in fast‑moving startup or consulting environments

We’re looking for builders who like deploying quickly, owning outcomes end‑to‑end, and working closely with decision‑makers inside enterprise organizations.

You’d likely thrive here if you:

• Prefer shipping over theorizing
• Enjoy high‑autonomy environments
• Can move comfortably between technical and business conversations
• Want direct exposure to enterprise AI transformation work
• Like solving complex real‑world problems with practical AI systems