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# DEVELOPER L3

- **Company:** Wipro Limited
- **Location:** Redmond, WA, United States
- **Experience:** Experienced
- **Salary:** $45,000.0 - $121,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, Software Debugging, Distributed Systems, Release Management, Azure Machine Learning, Runbook, Management of Software Versions, Enterprise Software Applications, Large Language Models, Prompt Engineering, Generative AI, Git, AI Platforms, Machine Learning Operations
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0c27d1bf7f08c13a

## About the Role

Do you have experience in Prompt engineering?, * Strong hands-on experience with Azure cloud services (provisioning, configuration, security basics, and troubleshooting).

 * Working knowledge of GenAI/LLMs , including prompt design, evaluation, and tuning approaches.
 * Familiarity with Azure ML/MLOps concepts and managing model lifecycle activities in an enterprise context.
 * Good debugging skills across APIs, logs, metrics, and distributed systems; strong customer-facing communication for incident handling.

Mandatory Skills: Cloud-Microsoft Azure .

Experience: 3-5 Years .

## Description

* Develop, integrate, and deploy AI features using Microsoft Azure AI services (including GenAI capabilities) into enterprise applications and APIs.
 * Perform prompt engineering , evaluation, and fine-tuning activities to improve accuracy, relevance, and response quality for business scenarios.
 * Implement and operate MLOps practices: model packaging, versioning, release management, and controlled rollout to production.
 * Provide L2 support for customer issues: triage incidents, troubleshoot model/API errors, diagnose latency/timeouts, handle quota/config issues, and coordinate fixes with L3/product teams.
 * Monitor AI services in production (availability, latency, throughput, cost) and recommend optimizations for reliability and cost efficiency.
 * Maintain operational excellence: RCA, knowledge base articles, runbooks, automation scripts, and continuous improvement to reduce repeat incidents.
 * Work within Agile delivery, using Git and CI/CD to ensure consistent engineering quality and deployment discipline.


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