Junior AI Developer at Oracle Risk Management Services

, , -

Full Time

Start Date

Immediate

Expiry Date

29 Apr, 26

Salary

0.0

Posted On

29 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Python, Spring Boot, Microservices, Large Language Models, Prompt Engineering, Agent-Based Workflows, Kubernetes, Oracle Cloud Infrastructure, CI/CD, Containerization, Distributed Systems, Problem Solving, Communication, Collaboration, AI Technologies

Industry

IT Services and IT Consulting

Description

The Senior AI Application Engineer will play a key role within the OAL engineering organization, designing and operating high-performance, cloud-native application services on Kubernetes to power advanced AI agents, RAG pipelines, large-scale distributed data workloads, and intelligent automation capabilities. In this role, you will engineer low-latency microservices integrating LLMs, agentic orchestration frameworks, and AI runtime components while rapidly prototyping and hardening production-grade capabilities to enable innovative AI-driven solutions on Oracle Cloud Infrastructure. Technical Expertise: 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. Experience in designing, scalable microservices in an enterprise environment. Proven ability to rapidly learn new technologies, prototype solutions, and independently design and implement application components. 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. Hands-on development of agent-based workflows using frameworks such as OpenAI Agent SDK, LangGraph, or equivalent agent orchestration toolsets. Experience implementing Retrieval-Augmented Generation components including indexing, metadata strategies, hybrid search, relevance evaluation, and pipeline integration. Experience with Oracle Cloud Infrastructure, including services such as OCI GenAI Service, Object Storage, API Gateway, Functions, or Streaming. Hands-on familiarity with Kubernetes on Oracle Kubernetes Engine (OKE) and container tooling such as Podman or Docker. 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 fast-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. 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 everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Junior AI Developer will design and develop cloud-native application services on Kubernetes and implement AI-powered capabilities using LLMs and agentic frameworks. They will also support CI/CD processes and collaborate with cross-functional teams to align solutions with business requirements.