ApplicationAI Developer
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Description
Responsibilities
Qualifications
Technical Expertise:
- Qualification & Experience: Bachelors or Masters degree in Computer Science Engineering or related technical field. Minimum 3 years hands-on experience in software development using Java orPython Spring Boot with strong grounds in data structures algorithms and their application in solving complex engineering challenges.
- Application Development: Experience in designing scalable microservices in an enterprise environment. Experience in using SQL and relational databases is considered a plus.
- 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 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
- Proven ability to drive technical outcomes take ownership of deliverables and work independently.
- Strong communication skills with the ability to articulate technical concepts experience in working with distributed teams.
- Demonstrated problem-solving ability when working with complex AI workloads distributed systems and cloud-native applications.
- A proactive experimentation-oriented mindset with a strong willingness to learn.
Responsibilities
Key Responsibilities
I. 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.
II. 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.
III. DevOps and Deployment
- Support CI/CD processes and containerized deployment workflows using Podman Docker and OKE.
- Troubleshoot application and runtime issues across distributed environments.
IV. Collaboration and Knowledge Sharing
- Work with cross-functional engineering teams to align solution designs with business requirements.
- Conduct research on emerging AI technologies tools and engineering patterns to introduce improvements and new solution approaches.
- Share knowledge and contribute to internal enablement of AI and cloud development best practices.
Qualifications
Career Level - IC3
Key Skills
- APIs
- MVC
- SQL
- Spring
- .NET
- ASP.NET
- Microsoft SQL Server
- C#
- Angular
- Application Development
- JavaScript
- Java
About Company
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when eve ... View more
