Design develop troubleshoot and debug software programs for databases applications tools networks etc Technical Expertise Qualification Experience Bachelor s or Master s degree in Computer Science Engineering or related technical field Minimum 3 years hands-on experience in software development using Java Python Spring Boot with strong grounding in data structures algorithms and their application in solving complex engineering challenges Application Development Experience in designing scalable microservices in an enterprise environment Self-Sufficiency Proven ability to rapidly learn new technologies prototype solutions and independently design and implement application components LLM Technologies Practical exposure to working with Large Language Models OpenAI Grok or open-source variants including prompt engineering practices fine-tuning methods and model deployment strategies Agentic Frameworks Hands-on development of agent-based workflows using frameworks such as OpenAI Agent SDK LangGraph or equivalent agent orchestration toolsets RAG Systems Experience implementing Retrieval-Augmented Generation components including indexing metadata strategies hybrid search relevance evaluation and pipeline integration Preferred Qualifications OCI Services Experience with Oracle Cloud Infrastructure including services such as OCI GenAI Service Object Storage API Gateway Functions or Streaming Containers Hands-on familiarity with Kubernetes on Oracle Kubernetes Engine OKE and container tooling such as Podman or Docker Vector Data Platforms Familiarity with vector-enabled data systems such as Oracle 23ai Vector Database Pinecone FAISS or comparable technologies desirable Soft Skills Leadership Proven ability to drive technical outcomes take ownership of deliverables and work independently in quick-evolving AI solution spaces Strong communication skills with the ability to articulate technical concepts document solution approaches and collaborate across distributed teams Demonstrated problem-solving ability when working with complex AI workloads distributed systems and cloud-native application behaviours A proactive experimentation-oriented mindset with a strong willingness to learn emerging AI technologies frameworks and engineering patterns Key Responsibilities Cloud Application Development Design and develop cloud-native application services on Kubernetes using Java Python and Spring Boot Integrate application components with OCI services including GenAI Service Object Storage and API Gateway AI LLMs and Agentic Systems Implement AI-powered capabilities using LLMs prompt engineering and agentic frameworks such as OpenAI Agent SDK or LangGraph Build RAG workflows including embeddings indexing and hybrid search DevOps and Deployment Support CI CD processes and containerized deployment workflows using Podman Docker and OKE Troubleshoot application and runtime issues across distributed environments Collaboration and Knowledge Sharing Work with cross-functional engineering teams to align solution designs with business requirements Conduct independent research on emerging AI technologies tools and engineering patterns to introduce improvements and new solution approaches Share knowledge mentor peers and contribute to internal enablement of AI and cloud development best practices

📌 Senior Ai Application Engineer (India)
🏢 Oracle
📍 India