In_senior Associate_llm Observability Engineer_app Tech_advisory_pan India (early Joiners)

PwC Poland

India
Performance testing methodologies
Load testing tools jmeter loadrunner gatling
Llm observability platforms datadog arize ai langfuse
This role is crucial for ensuring large language model systems are performant, reliable, and cost-effective in real-world scenarios

Job Summary

  • This role is crucial for ensuring large language model systems are performant, reliable, and cost-effective in real-world scenarios.
  • Candidates will design comprehensive test plans to evaluate the performance, scalability, and stability of LLM applications under various loads.
  • PwC offers a vibrant community of solvers with inclusive benefits, flexibility programmes, and mentorship to help employees thrive.

Matching Summary

This role is crucial for ensuring large language model systems are performant, reliable, and cost-effective in real-world scenarios.

Skills & Requirements

Must-have

  • Performance testing methodologies
  • Load testing tools JMeter LoadRunner Gatling
  • LLM observability platforms Datadog Arize AI Langfuse
  • Python or Java programming proficiency
  • Understanding LLM non-determinism and hallucinations

Nice-to-have

  • AppDynamics experience
  • DataDog expertise
  • Relevant LLM certifications
  • Analytical problem-solving skills
  • Excellent communication abilities

Key Requirements

  • 3 to 7 years of professional experience
  • Bachelor of Technology, Bachelor of Engineering, MBA, MCA, M.E, M.TECH, or PGDM degree
  • Regular full-time education without backlog extensions

Work Rights

Not specified

Tailored Resume

Cover Letter