Description
You will design and develop LLM-powered applications that connect natural language experiences with enterprise data, cloud services, and operational workflows. This is a hands-on engineering role for someone who wants to build practical GenAI systems that solve real customer problems, not isolated prototypes.
In this role, you will:
- Ship production GenAI features that improve customer workflows
- Build reliable patterns for LLM integration, tool use, evaluation, and observability
- Improve the accuracy, latency, cost, and trustworthiness of AI-enabled systems
- Help teams move from prototypes to maintainable production services
- Partner across engineering, product, data, security, and business teams
- Contribute to responsible AI practices in an enterprise software environment
Design and improve LLM-based systems that can interpret user intent, retrieve context, call tools, interact with APIs, and coordinate multi-step workflows.
Develop systems that transform complex operational signals into concise summaries, recommendations, alerts, and decision-support experiences.
Build the foundations needed to operate GenAI systems responsibly in production, including:
- Evaluation datasets and test harnesses
- Prompt and workflow regression testing
- Groundedness and accuracy checks
- Guardrails and safety controls
- Prompt injection and misuse defenses
- Latency, cost, and quality monitoring
- Traceability for debugging AI behavior
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/63512