Senior Staff Prompt Engineer

Summary

Join our dynamic and rapidly growing Digital Product Engineering company as we build innovative products and services. We are a global team of 19,000+ experts across 33 countries. This role requires strong programming skills in Python and Typescript/React, along with experience in backend web services, cloud services, containerization, CI/CD, and application monitoring. Experience with AI/ML cloud infrastructure, LLMs, and security is also essential. We offer a non-hierarchical work culture.

Requirements

• Possess strong programming proficiency in Python (OOP, Async/Await)
• Possess strong programming proficiency in Typescript/React and have front-end development experience
• Have previous experience building backend web services
• Have previous experience with cloud provider managed services and IaC (Terraform)
• Have previous experience with containerization and container app deployments
• Have previous experience with CI/CD concepts and tooling
• Have previous experience with application logging/monitoring
• Possess strong knowledge of service integrations and protocols (REST, streams, web sockets, webhooks)
• Possess strong knowledge of distributed tasks using queues and consumers, pub/sub architecture
• Have experience with cloud infrastructure for AI/ML
• Have experience with LLM guardrails
• Have experience with LLM monitoring and observability
• Have experience with security related to LLM
• Have strong skills in React, Python (Expert level), Generative AI Fundamentals, AWS, and RAG

Responsibilities

• Develop and maintain backend web services using FastAPI or similar technologies
• Utilize cloud provider managed services (AWS, Azure) and IaC (Terraform)
• Work with containerization and container app deployments (Docker, Kubernetes)
• Implement CI/CD concepts and tooling (Github Actions, Gitlab CI)
• Implement application logging and monitoring using tools like Sentry, ELK stack, or Datadog
• Develop and maintain service integrations using REST, streams, web sockets, and webhooks
• Develop and maintain distributed tasks using queues, consumers, and pub/sub architecture
• Develop and maintain cloud infrastructure for AI/ML
• Develop and maintain LLM guardrails
• Develop and maintain LLM monitoring and observability
• Develop and maintain security related to LLM