Founded by Migros, we are Turkey’s first retail media company, redefining the way brands connect with consumers.

Positioning ourselves as a data and technology company, we focus on delivering the right message to consumers through in-store digital screens, entrance sensors and online retail media platforms such as Migros TV and over 15 marketing and communication channels. By integrating these with retail purchase data, we provide advertisers with precise, data-driven advertising solutions that meet their needs.

Operating within a Technopark Ecosystem, we leverage innovation, collaboration and advanced analytics to continuously enhance our retail media technologies.

By combining data, technology, and shopping insights, we offer brands effective advertising solutions across both digital and in-store channels.

For our Data Science and AI Team, we are looking for a Senior Generative AI Engineer to join us!

What You’ll Do

As a Senior GenAI Engineer in Mimeda’s AI Lab, you’ll own the architecture and delivery of Generative AI products that power the next generation of retail media. You’ll bridge data science and software engineering, leading the design of agentic systems, RAG platforms, and automated creative workflows, while ensuring production-grade reliability, scalability, and cost efficiency.

• Architect, develop, and deploy Generative AI solutions (Agentic workflows, RAG pipelines, AI agents, LLM-based assistants) for sales, media, operations, and internal productivity use cases.
• Define end-to-end system architecture: data ingestion → embedding/indexing → retrieval/reranking → orchestration → evaluation → monitoring → continuous improvement.
• Wrap AI capabilities into high-performance APIs (FastAPI/Flask), design clean interfaces, and ensure smooth integration with front-end and internal services.
• Own vector search and retrieval quality: select/manage vector DBs (Pinecone/Chroma/etc.), optimize indexing strategies, chunking, metadata, hybrid search, caching, and reranking.
• Engineer and productionize multimodal pipelines for image/video processing (resize, render, analysis), and integrate with generative image/video tools.
• Lead productionization from prototype to product: collaborate with Data Scientists and developers; set engineering standards, code quality, and deployment practices.
• Mentor and guide teammates (code reviews, architectural reviews, best practices), and contribute to technical roadmap and build-vs-buy decisions.

What We’re Looking For

• Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent practical experience).
• 5+ years hands-on experience in AI Engineering / ML Engineering / Backend Engineering with strong production exposure.
• Strong Python skills and GenAI ecosystem experience (e.g., LangChain, LlamaIndex, tool/function calling, prompt engineering, structured outputs, agents).
• Strong SQL and data modeling skills; experience with pipelines and data quality considerations.
• Proven experience building production-grade REST APIs (FastAPI/Flask) and applying software engineering best practices (clean architecture, testing, CI/CD, versioning).
• Strong experience with RAG systems and Vector Databases (Pinecone, Chroma, etc.) plus retrieval tuning (chunking, embeddings, reranking, hybrid search).
• Experience designing scalable architectures and making trade-offs (latency/cost/quality) in real-world systems.
• Familiarity with cloud and containerization (Docker, Kubernetes) and deployment patterns (blue/green, canary, autoscaling) is a plus.
• Curiosity and practical interest in multimodal AI (image/video generation, VLMs).
• Being an AI enthusiast who follows trends, evaluates SOTA models pragmatically, and can translate experiments into measurable product value.