AI engineer for GenAI applications

We are seeking a Senior AI Engineer to design, deploy and optimize cutting-edge AI infrastructure powering large-scale GenAI applications. In this role, you will work with vector databases, LLM frameworks and cloud-native technologies to build robust, production-grade systems that drive intelligent solutions across the organization.

• Deploy and manage Milvus vector databases including schema design and index tuning with HNSW and IVF-FLAT
• Build embedding and LLM framework pipelines leveraging OpenAI API, Hugging Face or Cohere
• Manage Kubernetes clusters, Helm charts and containerized microservices for scalable orchestration
• Implement Docker containerization with multi-stage builds and registry management
• Develop production-level applications in Python along with Go, Java or C++
• Integrate object storage systems including AWS S3, MinIO or Google Cloud Storage
• Support large-scale RAG applications and multi-agent platforms
• Optimize compute and inference through GPU scheduling, resource optimization and inference acceleration
• Drive search optimization with hybrid search, metadata filtering and index tuning
• Collaborate effectively with the team to deliver high-quality solutions

• B.Tech/B.E in Engineering with 5+ years of relevant experience
• Expertise in Milvus deployment, schema design and index tuning (HNSW, IVF-FLAT)
• Familiarity with Qdrant, Pinecone, Weaviate, PGVector or Chroma
• Proficiency in OpenAI API, Hugging Face or Cohere for embeddings and LLMs
• Skills in Kubernetes cluster management, Helm charts and containerized microservices
• Competency in Docker containerization, multi-stage builds and registry management
• Production-level proficiency in Python 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
• Будет плюсом: Background in supporting large-scale RAG applications and multi-agent platforms; Familiarity with LangChain, LlamaIndex or custom LLM orchestration pipelines; Understanding of AI observability through LLM evaluation, governance, tracing and monitoring tools; Knowledge of CI/CD pipelines, Infrastructure-as-Code and cloud-native deployment practices; Prior work experience in the Oil and Gas industry along with Dataiku DSS and SRE practices

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