Senior AI Engineer with Kubernetes

About the role

We are looking for a Senior AI Engineer with deep expertise in Kubernetes and vector database technologies. The role is fully remote, allowing you to work from anywhere in Armenia while collaborating with a fast‑growing team delivering production‑grade AI services.

Key responsibilities

• Deploy and manage Milvus vector databases, design schemas and tune indexes (HNSW, IVF‑FLAT).
• Build and maintain embedding and LLM pipelines using OpenAI API, Hugging Face, or Cohere.
• Manage Kubernetes clusters, Helm charts, and containerised micro‑services in production.
• Develop Docker workflows, including multi‑stage builds and registry management.
• Design production‑grade Python applications and integrate with Go, Java, or C++ when needed.
• Integrate object storage solutions such as AWS S3, MinIO, or Google Cloud Storage.
• Evaluate alternative vector database solutions (Qdrant, Pinecone, Weaviate, etc.).
• Collaborate cross‑functionally to ensure reliability, scalability and observability of AI workloads.

Required profile

• Bachelor’s degree in Engineering or related field.
• 5+ years of professional experience in AI/ML engineering.
• Proven expertise with Milvus deployment, schema design and index tuning.
• Strong background in Kubernetes, Helm and container orchestration.
• Fluent English (B2 or higher) and excellent communication skills.

Required skills

• Milvus, HNSW, IVF‑FLAT, Qdrant, Pinecone, Weaviate, PGVector, Chroma
• OpenAI API, Hugging Face, Cohere
• Kubernetes, Helm, Docker, multi‑stage builds, container registries
• Python, Go, Java, C++
• AWS S3, MinIO, Google Cloud Storage

What we offer

• Opportunity to work on cutting‑edge AI infrastructure for industry leaders.
• Fully remote work with flexible hours.
• Collaborative, innovative environment with access to modern tools and resources.