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Principal AI Developer
Principal AI DeveloperOracle • Hungary
Principal AI Developer

Principal AI Developer

Oracle • Hungary
4 napja
Munkaköri leírás

We’re looking for an AI Developer to help shape the future of AI at Oracle. The ideal candidate has a strong foundation in data science and applied machine learning, with practical exposure to building agentic workflows (., RAG, NL-to-SQL, microservices). You will collaborate with product, engineering, data, and security teams to deliver reliable, compliant, and scalable AI capabilities. You take ownership of features and services, make thoughtful trade-offs, and contribute to engineering excellence.

What You’ll Do :

Build AI-Powered Applications

  • Design and implement features in AI-driven applications, primarily using Python or similar languages.
  • Partner with cross-functional teams to deliver reliable, scalable solutions.

Data, Experimentation, and Evaluation

  • Execute data preparation (feature selection, ETL, data quality) and contribute to robust evaluation frameworks.
  • Run experiments, analyze results using appropriate metrics, and iterate to improve performance and reliability.
  • MLOps and LLMs

  • Contribute to model deployment, monitoring, versioning, and guardrails for safety and reliability.
  • Design and implement agentic workflows using frameworks like LangGraph (or similar), including grounding with RAG and tool use.
  • Responsible AI and Compliance

  • Apply privacy-by-design and secure coding practices; partner with security and compliance teams as needed.
  • Oracle Fusion and Conversational UX

  • Integrate AI features into Oracle business applications.
  • Contribute to intuitive, user-centric conversational interfaces.
  • Qualifications required :

  • Degree (or equivalent experience) in Computer Science, Engineering, Mathematics, Physics, Statistics, or related field.
  • Proficiency with at least one programming language—Python preferred.
  • Hands-on experience with ML libraries (., Scikit-learn, TensorFlow, PyTorch).
  • Experience with cloud platforms, ideally OCI (also valued : AWS, GCP, Azure).
  • Understanding of software engineering fundamentals, data structures, algorithms, and secure SDLC practices.
  • Strong communication skills; effective collaboration across product, engineering, and security / compliance stakeholders.
  • Demonstrated contribution to production ML / LLM systems (., services, pipelines, or features in production).
  • Optional Architecture & Design Skills (Preferred) :

  • Working knowledge of software architecture fundamentals and system design patterns (., microservices).
  • Practical experience modeling with UML and / or the C4 model; ability to produce sequence, class, and deployment diagrams that stay in sync with code.
  • Familiarity with DDD techniques : identifying bounded contexts, strategic design, event storming, aggregate design, and context mapping.
  • API and integration design : RESTful standards, gRPC, GraphQL, API gateways, schema versioning, and backward compatibility strategies.
  • Event-driven architecture : experience with messaging systems (., Kafka) and reliable event processing basics (ordering, retries, idempotency).
  • Data and storage design : relational vs. NoSQL trade-offs, indexing, caching strategies, and clear data contracts.
  • Data governance : handling sensitive data with appropriate classification, retention, lineage, consent, and access controls aligned to privacy / compliance policies.
  • Observability : designing for metrics, logging, tracing; SLOs, error budgets, and performance profiling.
  • Security-by-design : basic threat modeling, secure defaults, secrets management, dependency scanning, and secure SDLC practices.
  • Architecture documentation tools familiarity (., PlantUML, Mermaid, .
  • Exposure to cloud-native architecture on OCI (preferred) or AWS / GCP / Azure : networking, IAM, container orchestration, service meshes, and managed AI / ML services.
  • Optional Nice to Have :

  • Led or contributed to architecture spikes / prototypes and translated findings into solution patterns or reference implementations.
  • Participation in design reviews or architecture forums; ability to articulate trade-offs to technical and non-technical audiences.
  • Relevant certifications or coursework (., OCI Architect, systems design, software architecture).
  • Career Level - IC3

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