Principal Software Development Engineer - AI Data Platform

Oracle Oracle · Enterprise · United States

Principal Software Development Engineer focused on building and optimizing AI Data Platforms for enterprise customers, with experience in LLMs, agentic frameworks, RAG, and vector databases on OCI.

What you'd actually do

  1. Design, implement, and maintain scalable software components and services that support AI/ML workloads.
  2. Build APIs, SDKs, and automation frameworks to streamline the adoption of Oracle AI Data Platform and Gen AI services.
  3. Optimize performance, scalability, and reliability of distributed data/AI systems.
  4. Collaborate with cross-functional teams (engineering, product, and field) to solve complex technical challenges.
  5. Participate in code reviews, testing, and CI/CD to ensure high-quality deliverables.

Skills

Required

  • Experience with LLMs and agentic frameworks (e.g., MCP, LangChain, CrewAI, Semantic Kernel).
  • Knowledge of RAG pipelines and vector DBs (e.g., 26ai (SelectAI), FAISS, Pinecone, Weaviate).
  • Familiarity with OCI Gen AI Services and model lifecycle workflows.
  • Solid Python and REST API skills.
  • Exposure to building autonomous agents and orchestration pipelines.
  • Experience working with cloud platforms like Oracle Cloud Infrastructure (OCI) and Oracle Cloud Infrastructure Big Data Service (BDS) and Big Data Appliance (BDA).
  • Proficiency in big data technologies such as Hadoop, Spark, Kafka, and Nosql
  • Design and implement scalable, secure, and efficient complex data architectures.
  • Manage and optimize large-scale databases.
  • Must have a solid understanding of networking concepts to design and optimize data transmission networks, configure network settings, and diagnose and resolve network-related issues.
  • Troubleshooting and problem-solving skills
  • Excellent communication and collaboration skills
  • Commitment to continuous learning and staying up-to-date with the latest big data technologies and trends

Nice to have

  • Worked with multiple Cloud Platforms.
  • Certification in Data Platform or a related field.

What the JD emphasized

  • Must have a solid understanding of networking concepts to design and optimize data transmission networks, configure network settings, and diagnose and resolve network-related issues.

Other signals

  • designing, optimizing, and scaling modern AI/ML-centric data platforms
  • seamless adoption of Oracle AI Data Platform, Gen AI services
  • Experience with LLMs and agentic frameworks
  • RAG pipelines and vector DBs
  • building autonomous agents and orchestration pipelines