AI Engineer (Agentic AI & LLM Systems)

beroe x nnamu GmbH; Berlin; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading AI firm in procurement seeks an experienced AI Engineer in Berlin. You will design and implement intelligent AI systems, collaborate with cross-functional teams, and develop cutting-edge applications using large language models and advanced machine learning techniques. The role offers a flexible work environment and focuses on innovative solutions that drive real-world impact. Competitive compensation packages are provided.

Leistungen

4-Day Work Week

Competitive Compensation

Flexible Work Arrangements

Professional Development Opportunities

Remote Work Options

Qualifikationen

• 6–8 years of professional experience in machine learning, NLP, or software engineering.
• Strong proficiency in Python and experience with ML libraries like PyTorch, TensorFlow, scikit-learn.
• Hands-on experience with LLMs and NLP tooling.

Aufgaben

• Design and implement agentic AI pipelines using frameworks.
• Build robust retrieval-augmented generation (RAG) systems with vector databases.
• Fine-tune and evaluate LLMs for specific applications.

Kenntnisse

Machine Learning

Natural Language Processing (NLP)

Python

AI Systems Development

Collaboration

Tools

PyTorch

TensorFlow

LangChain

HuggingFace

FAISS

Docker

Terraform

Jobbeschreibung

Your tasks

We are looking for an experienced AI Engineer to join our growing AI team at Beroe X nnamu. You’ll play a key role in developing intelligent, agentic AI systems using cutting‑edge large language models (LLMs), multi‑agent orchestration, and retrieval‑augmented generation (RAG).

This is a hands‑on role combining software engineering, ML / NLP expertise, and a passion for building next‑gen autonomous agents. You’ll collaborate closely with AI leads, backend engineers, data engineers, and product managers to bring scalable and intelligent systems to life—integrated into real‑world procurement and business applications.

Key Responsibilities

• Design and implement agentic AI pipelines using LangGraph, LangChain, CrewAI, or custom frameworks
• Build robust retrieval‑augmented generation (RAG) systems with vector databases (e.g., FAISS, Pinecone, OpenSearch)
• Fine‑tune, evaluate, and deploy LLMs for task‑specific applications
• Integrate external tools and APIs into multi‑agent workflows using dynamic tool / function calling (e.g., OpenAI JSON schema)
• Develop memory modules such as short‑term context, episodic memory, and long‑term vector stores
• Build scalable, cloud‑native services using Python, Docker, and Terraform
• Collaborate in agile, cross‑functional teams to rapidly prototype and ship ML‑based features
• Monitor and evaluate agent performance using tailored metrics (e.g., success rate, hallucination rate)
• Ensure secure, reliable, and maintainable deployment of AI systems in production environments

Your profile

• 6–8 years of professional experience in machine learning, NLP, or software engineering
• Strong proficiency in Python and experience with ML libraries like PyTorch, TensorFlow, scikit‑learn, and XGBoost
• Hands‑on experience with LLMs (e.g., GPT, Claude, LLaMA, Mistral) and NLP tooling such as LangChain, HuggingFace, and Transformers
• Experience designing and implementing RAG pipelines with chunking, semantic search, and reranking
• Familiarity with agent frameworks and orchestration techniques (e.g., planning, memory, role assignment)
• Deep understanding of prompt engineering, embeddings, and LLM architecture basics
• Design systems with role‑based communication, coordination loops, and hierarchical planning. Optimize agent collaboration strategies for real‑world tasks.
• Solid foundation in microservice architectures, CI / CD, and infrastructure‑as‑code (e.g., Terraform)
• Experience integrating REST / GraphQL APIs into ML workflows
• Strong collaboration and communication skills, with a builder’s mindset and willingness to explore new approaches

Bonus Qualifications

• Experience with RLHF, LoRA, or parameter‑efficient LLM fine‑tuning
• Familiarity with CrewAI, AutoGen, Swarm, or other multi‑agent libraries
• Exposure to cognitive architectures like task trees, state machines, or episodic memory
• Prompt debugging and LLM evaluation practices
• Awareness of AI security risks (e.g., prompt injection, data exposure)

Why us?

At Beroe X nnamu GmbH, we prioritize building a fulfilling and flexible work experience for our team. Here’s what we offer :

• 4‑Day Work Week & Up to 30 Days Off – More time to recharge and explore
• Competitive Compensation – Fair salary and full‑time benefits
• Flexible Work Arrangements – Remote‑friendly culture with hybrid options in Berlin or Munich
• Professional Development – Access to training, AI certifications, and learning budgets
• Work Abroad Options – Up to 8 weeks / year remote from select countries (with travel insurance)
• Collaborative Culture – Monthly team lunches, bi‑annual company meetups, and open idea‑sharing
• Autonomy & Impact – Build industry‑defining systems with real‑world applications

We operate on a hybrid model with offices in Berlin and Munich, anchored by a 32‑hour, 4‑day workweek. This means :

• In‑Office Collaboration – 2 office days / week
• Flexible Hours –

Manage your workday in a way that meets both your needs and team goals.

Our Culture

We’re passionate about building cutting‑edge AI tools while fostering a collaborative and inclusive environment. Diverse teams create better solutions, and we welcome applicants from all backgrounds. Your ideas and curiosity will shape the future of our products.

About us

At Beroe x nnamu GmbH, we are committed to empowering procurement teams to make informed, strategic decisions that drive real impact. By integrating AI and game theory, our Software as a Service (SaaS) platform, nnamu.negotiations, delivers a groundbreaking approach to complex, yet autonomous negotiations.

nnamu.negotiations delivers additional total‑value‑of‑ownership savings efficiently and effectively for buyers with no prior knowledge of game theory required. By combining our world class proprietary AIwith an unmatched, unique database of over EUR 400bn actual game theory project data we help clients uncoverincremental valuein their negotiations, driving outcomes that were previously out of reach.

Beroe x nnamu GmbH is now a Beroe, Inc. group entity . Beroe is a global leader in procurement intelligence. Beroe has been on procurement’s leading edge since the company’s founding in 2006, bringing a world of insights forward. The unique combination of Beroe’s expertise, AI tools, and vast amounts of reliable data enable organizations to make smarter, faster, better procurement decisions. Not tomorrow, not today, but now. Selected by ProcureTech as one of the “most pioneering Analytics, Data and Intelligence solutions in 2024”, Beroe helps thousands of organizations sift through the data noise, mitigate risk, face fewer surprises, and ultimately gain a competitive edge.

With nnamu’s cutting‑edge AI and Beroe’s trusted market intelligence, we are unlocking game‑changing possibilities for procurement teams worldwide

The Challenge We are Solving

Despite the proven potential of game theory to enhance negotiation outcomes significantly – potentially unlocking an incremental USD 1 Trillion of value – its application in business negotiations remains rare, inconsistent, and hard to scale. This gap presents a vast opportunity but also a challenge that many companies have yet to overcome. Beroe x nnamuGmbH is pioneering the use of AI‑powered game theory to make complex negotiation strategiesaccessible, scalable, and incredibly effectivefor organizatio ns worldwide.