GenAI Engineer - Database

Qualifications

• 5+ years of experience in DevOps, Platform Engineering, SRE, or MLOps roles.
• Minimum 3+ years supporting Machine Learning, Deep Learning, or AI production systems.
• Proficient in Databases specially Graph Db like Neo4j, memgraph (NosQL and SQL
• Must be able to do Data Modelling
• Must know about Embeddings, Vector Database, Semantic Search
• Must have scripting and automation skills using Python, Golang, Bash, or similar languages.
• Strong hands-on expertise with one major cloud platform (Azure, AWS, or GCP).
• Experience deploying AI/ML workloads at scale.
• Strong experience with: Docker Kubernetes Container orchestration
• Docker
• Kubernetes
• Container orchestration
• Proven expertise building CI/CD pipelines.
• Hands-on experience with Infrastructure-as-Code tools.
• Experience with monitoring and observability platforms.
• Working knowledge of: LLMs Prompt engineering RAG architectures Vector databases GenAI orchestration frameworks
• LLMs
• Prompt engineering
• RAG architectures
• Vector databases
• GenAI orchestration frameworks
• Experience working with Azure OpenAI, Amazon Bedrock, or Vertex AI.
• Hands-on experience supporting production LLM applications.
• Familiarity with GPU infrastructure and optimization.
• Experience with model evaluation frameworks and LLM observability tools.
• Knowledge of Responsible AI, AI governance, and security best practices. Relevant cloud certifications (Azure, AWS, or GCP) are a plus.
• Relevant cloud certifications (Azure, AWS, or GCP) are a plus.