Senior AI Engineer – Supply Chain (Databricks focus)

• Own the architecture and DevOps of the AI platform on Databricks (Delta Lake, workflows, governance, environments)
• Design AI-ready data architecture optimized for LLM and agent use cases (low-latency retrieval, semantic layers, feature access)
• Lead implementation and scaling of Databricks Genie (or similar) for natural language → data interaction
• Build and deploy LLM-powered applications and agents that leverage enterprise data and systems
• Implement RAG pipelines end-to-end (data ingestion → embedding → retrieval → evaluation)
• Integrate enterprise systems (SAP, internal DBs, APIs) via connectors, MCP, and tool-calling interfaces
• Establish CI/CD, testing, and observability standards for both data + AI workloads
• Optimize performance, cost, and reliability of Databricks workloads and AI systems
• Collaborate with AI engineers and analysts to ensure scalable and production-ready AI use cases

• Bachelor’s or Master’s degree in Computer Science, Data Science, or similar
• 5+ years experience across AI engineering, data platform engineering, or backend systems
• Deep expertise in Databricks:
  • Spark, Delta Lake, job orchestration
  • Workspace/environment setup & governance
  • Performance tuning and cost optimization
• Strong experience with platform engineering / DevOps:
  • CI/CD pipelines, infrastructure-as-code, deployment workflows
  • Monitoring, logging, and production reliability
• Strong Python + SQL
• Hands-on experience with LLMs and AI systems (OpenAI, Anthropic, or OSS models)
• Experience building RAG systems, embeddings pipelines, and vector search
• Understanding of MCP, APIs, connectors, and tool integration
• Experience with Databricks Genie or similar semantic/query layers
• Familiarity with ERP systems (SAP) and supply chain data is a plus

• Committed 13th month bonus
• Collaboratively yearly performance bonus
• Meal & Parking allowances
• Premium insurance for employee
• Flexible benefits
• Domestic and international training opportunity
• Career development program with buddy and mentoring program
• Good benefits of company activities, team building and year end party
• Opportunity to work in global projects of fast developing company and being a part of innovation team contributing initiative ideas to the digital transformation era

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