Senior AI Engineer – Remote (Armenia)

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. The role is fully remote within Armenia, allowing you to work from anywhere while collaborating with cross‑functional teams to deliver production‑grade solutions.

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, registry management and container deployment.
• 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 with 5+ years of relevant experience.
• Proven expertise in Milvus deployment, schema design and index tuning.
• Strong verbal and written communication skills.

Required skills

• Milvus, Qdrant, Pinecone, Weaviate, PGVector, Chroma
• HNSW, IVF‑FLAT indexing
• OpenAI API, Hugging Face, Cohere
• Kubernetes, Helm
• Docker (multi‑stage builds, registry management)
• Python, Go, Java, C++
• AWS S3, MinIO, Google Cloud Storage
• GPU scheduling, hybrid search, metadata filtering
• LangChain, LlamaIndex
• CI/CD pipelines, Infrastructure‑as‑Code, cloud‑native deployment

What we offer

• Innovative projects with global impact.
• Fully remote work with optional office spaces in Yerevan and Gyumri.
• Opportunities to work abroad up to two months per year.
• Leadership development, certifications (GCP, Azure, AWS) and unlimited internal learning.
• Corporate events, social activities and a supportive work environment.