Senior Staff Engineer - Prompt Engineer

2 Months ago • 4-8 Years • DevOps

Job Summary

Job Description

As a Senior Staff Engineer - Prompt Engineer, you will leverage your expertise in Python, Typescript/React, backend web services (FastAPI or similar), cloud services (AWS, Azure), IaC (Terraform), containerization (Docker, Kubernetes), CI/CD, application logging/monitoring, service integrations (REST, streams, web sockets, webhooks), distributed tasks, and cloud infrastructure for AI/ML. Responsibilities include building and maintaining LLM applications, implementing LLM guardrails, ensuring LLM monitoring and observability, and addressing security concerns related to LLM integration. You'll need strong experience with Generative AI Fundamentals, React, and Python.
Must have:
  • Strong Python (OOP, Async/Await)
  • Strong Typescript/React & FE exp.
  • Backend web services (FastAPI)
  • AWS, Azure & IaC (Terraform)
  • Docker, Kubernetes & CI/CD
  • Application Logging/Monitoring
  • REST, streams, web sockets
  • Distributed tasks & pub/sub
  • Cloud infra for AI/ML
  • LLM guardrails & security
  • React (Strong), Python (Expert)
  • Generative AI Fundamentals (Strong)
  • AWS, RAG

Job Details

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

  • Strong programming proficiency in Python (OOP, Async/Await, etc.).
  • Strong programming proficiency in Typescript/React and FE development experience.
  • Previous experience building backend web services (FastAPI or similar).
  • Previous experience with cloud provider managed services (AWS, Azure) and IaC (Terraform).
  • Previous experience with containerization and container app deployments (Docker, Kubernetes, etc.).
  • Previous experience with CI/CD concepts and tooling (Github Actions, Gitlab CI, etc.).
  • Previous experience with application logging/monitoring (Sentry, ELK stack, Datadog, etc.).
  • Strong knowledge with service integrations and protocols (REST, streams, web sockets, webhooks).
  • Strong knowledge with distributed tasks using queues and consumers, pub/sub architecture.
  • Experience with cloud infrastructure for AI/ML.
  • Experience with LLM guardrails.
  • Exeperience with LLM monitoring and observability - Experience with security related to LLM integration.

Qualifications

Must have Skills: React (Strong), Python (Expert), Generative AI Fundamentals (Strong), AWS, RAG.

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