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Job Overview
We are looking for an experienced Senior AI/ML Engineer to join our Generative AI team. You will work on the design and implementation of cutting-edge AI systems-including Retrieval-Augmented Generation (RAG) pipelines, multimodal generative models (GPT, DALL·E, etc.), and their integration into high-load product environments and internal workflows. This role combines hands-on engineering with architectural thinking to scale Gen AI across the company.
What will you do?
Design and implement RAG systems with hybrid retrieval (dense/sparse), embeddings, and orchestrated prompt pipelines.
5+ years of experience in Machine Learning, including deployment of production-grade AI solutions.
Experience deploying multimodal models (e.g. DALL·E, Stable Diffusion, Whisper).
Hybrid/Remote (from anywhere within the European time zone)
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Berlin include:
5 weeks of Annual Leave per calendar year
We are looking for an experienced Senior AI/ML Engineer to join our Generative AI team. You will work on the design and implementation of cutting-edge AI systems-including Retrieval-Augmented Generation (RAG) pipelines, multimodal generative models (GPT, DALL·E, etc.), and their integration into high-load product environments and internal workflows. This role combines hands-on engineering with architectural thinking to scale Gen AI across the company.
What will you do?
- Architect and deploy LLM-based solutions using open-source and proprietary models (LLaMA, Mistral, GPT-4, Claude).
- Build scalable ML pipelines for batch and real-time inference, retraining, evaluation, and observability.
- Integrate Gen AI models (text, image, multimodal) into core business processes and customer-facing products.
- Collaborate with cross-functional teams-product, engineering, data science, and ops-to deliver AI-powered features.
- Evaluate Gen AI models for performance, cost, scalability, and alignment with company use cases.
- Ensure robust architecture and security practices in deploying AI solutions within existing IT ecosystems.
- Contribute to tooling and platform selection for model deployment, inference orchestration, and data flow automation.
- Document and evolve best practices in Gen AI architecture across the organization.
- Expertise in NLP, Transformers, and modern deep learning architectures (RAG, BERT, T5, diffusion models, etc.).
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, HuggingFace, LangChain, etc.).
- Hands-on experience with vector databases (FAISS, Qdrant, Weaviate) and semantic search architectures.
- Proficient with DevOps/MLOps practices and tools: Docker, Kubernetes, CI/CD, monitoring, logging.
- Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML service stacks.
- Strong architectural thinking with a focus on scalability, performance, and cross-system integration.
- English language proficiency at B2 or higher.
- Familiarity with Gen AI use cases in games, content creation, and enterprise automation.
- Knowledge of ethical AI practices and governance.
- Background in leading small teams or coordinating AI projects end-to-end.
Hybrid/Remote (from anywhere within the European time zone)
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Berlin include:
- Additional paid time off
- Career development and education opportunities within the company
- Home internet reimbursement
- Gym membership through Urban Sports Club - Package M
- Mental well-being program (iFeel)
- Monthly public transportation ticket
- Language classes
- Company pension scheme with a company contribution up to 150 EUR per month
- Personal Gaming Account
- Coffee, fruits, and snacks in the office
- Company events
- Seniority Awards
- Referral program - You can recommend the best talents to the company and receive a reward
Key Skills
Ranked by relevance
ai
security practices
machine learning
deep learning
kubernetes
tensorflow
pytorch
python
docker
cloud
cicd
aws
gcp
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- Posted
- Jul 13, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Berlin
- Company
- Gamigion
Industries
Mobile Gaming Apps
Categories
Engineering
Information Technology
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