Senior AI Software Developer

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.

Join the Oracle Cloud Infrastructure (OCI) team. We’re looking for experienced AI Developers to join our team and help shape the future of OCI Networking using AI.

In this role you will lead the design and development team to build advanced AI applications powered by AI models. You will use AI/ML to automate, optimize, and secure networks, focusing on tasks like self-provisioning, auto-ingesting, auto-qualifying systems and self-healing networks, requiring skills in Python, ML frameworks and training AI models.

As a Senior AI Developer you will be responsible for building and optimizing large-scale AI systems, ensuring scalability, reliability, and performance. The candidate should be able to work collaboratively with cross-functional teams to drive the development and deployment of AI solutions. If you have a passion for building cutting-edge AI applications and are looking for a challenging role, we encourage you to apply. Strong problem-solving skills, attention to detail, and excellent communication skills are essential for this role.

• Design and implement scalable orchestration for serving and training AI/ML models
• Explore and incorporate contemporary research on AI, agents, and inference systems into the software stack for designing, monitoring, troubleshooting and deploying networks.
• Evaluate, Integrate, and Optimize technologies across the stack, for latency, throughput, and resource utilization for training and inference workloads.
• Lead initiatives in AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine-tuning.
Design and develop scalable services and tools to support GPU-accelerated AI pipelines, Python/Go, and observability frameworks.

Required experience:

• Strong Python and ML frameworks (PyTorch, TensorFlow)
• LLMs, embeddings, vector search, RAG pipelines, and fine-tuning
• Data engineering: Spark, Kafka, Flink, OCI Streaming/Data Flow
• Distributed systems and large-scale training/inference
• Containerization, model serving, GPU workflows, CI/CD, and MLOps tools

• Writing design docs, scoping features, and owning delivery end-to-end
  

Required Education and Work Experience:

• BSEE, BSCS, BSCE, or equivalent. MSEE, MSCS, or MSCE is a plus
• At least 3-5 years of experience building software systems and built AI applications training models.