GenAI Engineer - Database
Core
Design, build, deploy, and operate core infrastructure for Generative AI and Machine Learning solutions, focusing on MLOps, model serving, and vector search.
Role type
Senior IC MLOps Engineer (GenAI)
Builds
Production-ready LLM applications, RAG systems, and scalable AI inference workloads
Domain
Generative AI, MLOps, Cloud Infrastructure
Deliverable
production ML models
Required skills
MLOps, CI/CD automation, Kubernetes, Infrastructure-as-Code, Vector databases, Python, Golang, Bash, Cloud platforms (Azure/AWS/GCP), Docker, Observability
Preferred skills
GPU infrastructure optimization, LLM observability tools, Responsible AI governance, Cloud certifications
Technologies
Airflow, Prefect, Azure ML, SageMaker, Vertex AI, GitHub Actions, Azure DevOps, Jenkins, Terraform, LangChain, LangGraph, Pinecone, Weaviate, Azure AI Search, OpenSearch, ChromaDB, FAISS, Prometheus, Grafana, Datadog, Azure Monitor, AWS CloudWatch, Neo4j, memgraph
Responsibilities
Design end-to-end ML pipelines; Containerize and deploy AI/ML workloads; Implement observability and alerting; Optimize cloud costs and GPU utilization; Build GenAI orchestration workflows; Manage security and compliance for AI systems
Seniority
Senior, hands-on IC