ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
Wipro
This role involves designing and implementing AI workflows using frameworks like LangGraph and CrewAI to build autonomous pipelines and configure tool contracts. The position requires expertise in retrieval engineering (RAG) and implementing observability and security guardrails to ensure system reliability. The ideal candidate will lead discovery workshops to map business processes and refine AI agents based on stakeholder feedback.
Wipro is a global IT services and consulting company that helps enterprises accelerate digital transformation through consulting, engineering and AI-driven solutions. It provides cloud, digital engineering, cybersecurity, data & analytics, automation, application and infrastructure services, plus industry-specific solutions and managed operations. Consulting‑led and AI‑powered, Wipro combines design, engineering and operational capabilities to deliver future-ready technology and measurable business outcomes for clients worldwide.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Wipro.
Right around the average for this role
Senior Software Engineer (Agentic AI Development)
ITX
Senior Product Software Engineer (ML+ AI + Graph DB)
Wolters Kluwer
Agentic RAG & Engineering
Binance
AI Native Engineer (Agentic / Applied)
Accenture
Implementar soluciones de IA Generativa dentro de los flujos de trabajo del dominio de negocio asignado, construyendo y desplegando agentes, pipelines de RAG, integraciones con LLMs y componentes reutilizables sobre las plataformas institucionales autorizadas, asegurando calidad, seguridad, observabilidad y costo-efectividad en cada implementación, con el propósito de entregar valor con soluciones de última milla para negocio, bajo el marco de gobierno del CoE de IA.
oraclecloudinfrastructure
Implementar soluciones de IA Generativa dentro de los flujos de trabajo del dominio de negocio asignado
Oracle