Job Description
3.83.8 out of 5 stars
Seattle, WA
Full-time
Job details
Job type
- Full-time
Full job description
At company, we are building the next generation of AI applications that transform how enterprises get work done. One of our flagship initiatives is the new company Chat Experience – an intelligent, multi-agent system designed to help professionals across domains query data, generate insights, and automate workflows through natural language.
As part of the AI Applications team, you will contribute to designing and developing the systems that power this next-generation experience — integrating Large Language Models (LLMs), retrieval and reasoning pipelines, and enterprise data sources into cohesive, reliable user interactions. You will collaborate with engineers across backend, frontend, and ML domains to ensure the system’s scalability, performance, and operational excellence.
Minimum Qualifications
- Bachelor’s degree in Computer Science or a related field.
- 3+ years of professional software development experience.
- Strong coding skills in Python, Java, or Go.
- Experience with REST/gRPC APIs, microservices, and cloud-native architectures.
- Familiarity with CI/CD pipelines, Docker, and Kubernetes.
Preferred Qualifications
- Experience building or integrating AI/LLM-powered applications.
- Familiarity with frameworks like LangChain or LangGraph.
- Interest in distributed systems, observability, and performance tuning.
- Ability to work collaboratively in fast-paced, cross-functional environments.
Why Join
- Work on real-world agentic AI applications that reach enterprise customers globally.
- Learn from experienced engineers, researchers, and product teams in a fast-growing domain.
- Shape how enterprises interact with AI by making them useful at scale.
- Develop and enhance core components of Oracle Chat, focusing on scalability, reliability, and performance.
- Implement APIs, services, and integrations that connect AI models, orchestration layers, and enterprise systems.
- Partner with product and design teams to deliver high-quality, intuitive conversational and workflow experiences.
- Maintain production health through observability, testing, and proactive monitoring.
- Participate in design and code reviews, helping improve system quality and maintainability.