AI.IMPACT

AI Engineer

• Build and further develop sophisticated generative AI systems
• Work on LLM and RAG systems
• Integrate generative AI into existing enterprise landscapes
• System design and well-considered trade-offs
• Bring solutions into production

Senior/Lead AI Engineer – Generative AI

• Conceive and implement AI solutions across both customer-facing product features and internal back-office workflows
• Design and build LLM-based applications and RAG pipelines, bringing together vector databases, embeddings, and semantic search to produce reliable, context-aware results at scale
• Create AI-driven agents and automations that simplify and accelerate customer workflows across CRMs, ERPs, ticketing platforms, and other core business systems
• Embed AI capabilities into existing cloud-native architectures, APIs, and data ecosystems, with a focus on security, resilience, and scalability in production environments
• Work hand-in-hand with product, engineering, and leadership teams on the client side to translate technical AI capabilities into measurable business outcomes
• Guide clients in shaping and executing their data, AI, and generative AI strategies

Lead AI Engineer / Senior AI Engineer

Data Engineer

• In this role you will be responsible for building and maintaining data pipelines and the infrastructure to support our clients' needs.
• Develop, design, and implement data platforms for our clients
• Build and maintain data pipelines and ETL processes
• Work with both structured and unstructured data sources
• Optimize data ingestion, processing, and storage
• Collaborate with data scientists, analysts, and developers to ensure smooth data operations
• Develop and maintain data modeling and database architecture
• Estimate the effort required for your activities
• Continuous, active learning in the field of AI
• Share your knowledge with clients and the team

Senior/Lead AI Engineer – Generative AI

Lead AI Engineer / Senior AI Engineer

Senior Data Engineer