Senior AI Engineer – GenAI Infrastructure

About the role

We are looking for a Senior AI Engineer to design, deploy and optimise cutting‑edge AI infrastructure that powers large‑scale Generative AI applications. You will work with vector databases, LLM frameworks and cloud‑native technologies to build robust, production‑grade systems that enable intelligent solutions across the organisation.

Key responsibilities

• Deploy and manage Milvus vector databases, including schema design and index tuning (HNSW, IVF‑FLAT).
• Build embedding and LLM pipelines using OpenAI API, Hugging Face or Cohere.
• Manage Kubernetes clusters, Helm charts and containerised micro‑services for scalable orchestration.
• Implement Docker multi‑stage builds, image registry management and containerisation best practices.
• Develop production‑level applications in Python and at least one of Go, Java or C++.
• Integrate object‑storage solutions such as AWS S3, MinIO or Google Cloud Storage.
• Support large‑scale Retrieval‑Augmented Generation (RAG) and multi‑agent platforms.
• Optimise compute and inference through GPU scheduling, resource optimisation and inference acceleration.
• Drive search optimisation with hybrid search, metadata filtering and index tuning.

Required profile

• B.Tech/B.E. in Engineering or equivalent with 5+ years of relevant experience.
• Strong verbal and written communication skills.
• Experience with production AI systems and cloud‑native deployment practices.

Required skills

• Milvus, Qdrant, Pinecone, Weaviate, PGVector, Chroma.
• OpenAI API, Hugging Face, Cohere.
• Kubernetes, Helm, Docker (multi‑stage builds, registry management).
• Python and at least one of Go, Java, C++.
• AWS S3, MinIO, Google Cloud Storage.
• GPU scheduling, hybrid search, index tuning.
• CI/CD pipelines, Infrastructure‑as‑Code, cloud‑native deployment.
• Familiarity with LangChain, LlamaIndex (nice to have).

What we offer

• Remote work from anywhere in Georgia with access to modern offices in Tbilisi, Batumi and Kutaisi.
• Opportunities to work abroad up to two months per year.
• Leadership development, career advising and well‑being programs.
• Certification support for GCP, Azure and AWS.
• Corporate and social events, plus relocation possibilities in 55+ countries.