DEVELOPER L3

Wipro Limited
Redmond, WA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$45,000.0 - $121,000.0
Working hours
Regular working hours
Job source

Tech stack

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
+7 more
Enterprise Software Applications Large Language Models Prompt Engineering Generative AI Git AI Platforms Machine Learning Operations

Job 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.

Requirements

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 .

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • Paid time off
  • Dental insurance
  • Disability insurance, The expected compensation for this role ranges from $45,000 to $121,000 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro’s standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

About the company

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

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