Senior GenAI Backend Engineer (Remote, LATAM)

Devlane; EE. UU.; A distancia; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible hours

25 days paid time off

Equipment provided

English classes

Descripción de la vacante

Devlane seeks an experienced backend engineer to design and deploy generative AI capabilities in production. You will connect LLMs to application workflows, build retrieval-augmented and multi-step AI processes, and work with AI, DevOps, and software teams to deliver scalable services.

The role requires 7+ years in software engineering, strong Python, and hands-on experience with Docker/Kubernetes, CI/CD, and cloud platforms. Advanced English is a must.

Formación

• 7+ years of software engineering experience
• Strong Python and backend services in production
• Deep practical knowledge of generative AI including LLM APIs, RAG, multi-step workflows, and prompt engineering
• Experience integrating foundation models and optimizing embeddings
• Familiarity with AWS/Azure/GCP
• Hands-on Docker, Kubernetes, Git, and CI/CD
• Advanced English proficiency

Responsabilidades

• Build and scale production backend services in Python.
• Integrate language model APIs and foundation models into applications.
• Develop retrieval-augmented generation pipelines and multi-step AI workflows.
• Improve model responses through prompt design, debugging, and performance evaluation.
• Assess and address output accuracy, bias, compliance, and performance concerns.
• Collaborate with AI, DevOps, and software engineering colleagues on production readiness.

Conocimientos

Python backend

LLM/prompt engineering

Cloud platforms

CI/CD

English proficiency

Herramientas

Docker

Kubernetes

Git

CI/CD tooling

LlamaIndex

Descripción del empleo

Devlane seeks an experienced backend engineer to design and deploy generative AI capabilities in production. You will connect LLMs to application workflows, build retrieval-augmented and multi-step AI processes, and work with AI, DevOps, and software teams to deliver scalable services.

The role requires 7+ years in software engineering, strong Python, and hands-on experience with Docker/Kubernetes, CI/CD, and cloud platforms. Advanced English is a must.