Senior AI Engineer with Kubernetes

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Senior AI Engineer with Kubernetes

Remote in Georgia, & 4 others

AI Solution Engineering

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We are seeking a highly skilled Senior AI Engineer with strong expertise in Kubernetes and vector database technologies to join our team. In this role, you will design, build, and scale production-grade AI systems, working with cutting-edge LLM frameworks, embeddings, and cloud-native infrastructure to deliver robust and high-performance solutions.

Responsibilities

• Deploy and manage Milvus vector databases, including schema design and index tuning (HNSW, IVF-FLAT)

• Build and maintain embedding and LLM pipelines using OpenAI API, Hugging Face, or Cohere

• Manage Kubernetes clusters, Helm charts, and containerized microservices in production

• Develop and maintain Docker containerization workflows, including multi-stage builds and registry management

• Design and deliver production-grade Python applications, integrating with Go, Java, or C++ where required

• Integrate object storage systems such as AWS S3, MinIO, or Google Cloud Storage

• Evaluate and implement alternative vector database solutions, including Qdrant, Pinecone, and Weaviate

• Collaborate cross-functionally with team members to deliver reliable, scalable AI services

• Ensure operational excellence, observability, and performance of deployed AI workloads

Requirements

• Bachelors degree in Engineering with 5+ years of relevant experience

• Expertise in Milvus deployment, schema design, and index tuning (HNSW, IVF-FLAT)

• Familiarity with vector database alternatives such as Qdrant, Pinecone, Weaviate, PGVector, or Chroma

• Proficiency in building embedding and LLM pipelines using OpenAI API, Hugging Face, or Cohere

• Skills in Kubernetes cluster management, Helm charts, and containerized microservices

• Background in Docker containerization, multi-stage builds, and registry management

• Production-level Python development along with Go, Java, or C++

• Knowledge of object storage integration, including AWS S3, MinIO, or Google Cloud Storage

• Excellent verbal and written communication skills with strong team collaboration abilities

• Proficiency in English at an Upper-Intermediate level (B2) or higher

Nice to have

• Experience supporting large-scale RAG applications and multi-agent platforms

• Hands-on familiarity with LangChain, LlamaIndex, or custom pipelines

• Understanding of GPU scheduling, resource optimization, and inference acceleration

• Production experience with hybrid search, metadata filtering, and index tuning

• Implementation of LLM evaluation, governance, tracing, and monitoring tools

• Familiarity with CI/CD pipelines, Infrastructure-as-Code, and cloud-native deployment practices

• Prior work experience in the Oil and Gas industry

• Experience with Dataiku DSS

• Knowledge of SRE practices