Senior Staff Engineer - Prompt Engineer

Nagarro; Norte; Presencial; USD 25.000 - 45.000; Jornada completa

Descripción de la vacante

A leading digital product engineering company is seeking a talented software developer proficient in Python and React. The role involves building backend web services and working with cloud infrastructure for AI applications. Join a dynamic team and contribute to exciting projects in a non-hierarchical culture.

Formación

• Proficiency in Python programming, including OOP and Async/Await.
• Experience in frontend development with Typescript and React.
• Knowledge of cloud provider managed services (AWS, Azure).

Responsabilidades

• Building backend web services, preferably with FastAPI or similar frameworks.
• Understanding of CI/CD pipelines and tools such as Github Actions and Gitlab CI.
• Experience with application logging and monitoring tools like Sentry, ELK stack, or Datadog.

Conocimientos

Python

React

Generative AI Fundamentals

AWS

Herramientas

Docker

Kubernetes

Terraform

Descripción del empleo

We are a Digital Product Engineering company that is scaling rapidly! We build products, services, and experiences that inspire, excite, and delight. Our work spans across all devices and digital mediums, with a global team of over 19,000 experts across 33 countries. Our culture is dynamic and non-hierarchical. We are seeking talented new colleagues to join us!

Job Description

1. Proficiency in Python programming, including OOP and Async/Await.
2. Experience in frontend development with Typescript and React.
3. Experience in building backend web services, preferably with FastAPI or similar frameworks.
4. Knowledge of cloud provider managed services (AWS, Azure) and Infrastructure as Code (Terraform).
5. Experience with containerization and deployment using Docker, Kubernetes, etc.
6. Understanding of CI/CD pipelines and tools such as Github Actions and Gitlab CI.
7. Experience with application logging and monitoring tools like Sentry, ELK stack, or Datadog.
8. Strong understanding of service integrations and protocols such as REST, streams, web sockets, and webhooks.
9. Knowledge of distributed task architectures using queues, pub/sub models, and consumers.
10. Experience with cloud infrastructure for AI and ML applications.
11. Familiarity with LLM guardrails, monitoring, and security considerations related to LLM integration.

Qualifications

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