Senior AI / Platform Engineer - vaga remota

A empresa AMS Accelerate IT está com uma vaga aberta de Senior AI / Platform Engineer: nível senior, ou seja, a empresa espera que você tome as decisões. A posição fica na área de TI e programação e é totalmente remota. A empresa não impõe restrição sobre onde o candidato mora, então você pode se candidatar de onde estiver.

As principais ferramentas citadas no anúncio são: Python, AWS, Docker, SQL. O currículo precisa mostrar exemplos concretos exatamente dessas habilidades.

A empresa não publicou nenhum valor, isso é acertado na entrevista. O anúncio não impõe condição nenhuma de horário.

Esta vaga passou por uma verificação automática: anúncios que exigem autorização de trabalho estrangeira, patrocínio de visto, uma nacionalidade específica ou residência em um país indicado não entram na lista.

We are seeking a talented Backend Software Engineer with a focus on AI/ML to join our team. In this role, you will be responsible for designing, implementing, and maintaining scalable backend services primarily in Python. Your main tasks will involve building and managing data pipelines for AI/ML applications, as well as operationalizing and deploying Generative AI systems for production use.

* Design, implement, and maintain scalable backend services in Python

* Build and maintain data pipelines for AI/ML applications for production use-cases

* Operationalize and deploy Generative AI systems (APIs, SDKs, pipelines)

* Develop APIs to serve AI features to downstream applications

* Orchestrate agentic workflows using frameworks like LangChain, LangGraph, or custom solutions

* Ensure monitoring, logging, and observability of GenAI services

* Collaborate cross-functionally to ensure system performance, scalability, and reliability

Note:

* This position is ideal for a hands-on software engineer with significant exposure to AI product development, rather than a data science or AI/ML research role.

* We are looking for individuals who excel in operational excellence, have deployment experience, and possess systems-level thinking for real AI applications.

Requirements Offer Requirements:

* 5+ years of practical experience as a Python backend developer

* Strong knowledge of software engineering principles, clean code practices, and testing methodologies

* Practical experience with Python backend frameworks: FastAPI (preferred), Flask or Django

* Practical experience with SQL databases and related Python libraries

* Hands-on experience with cloud platforms: Azure (preferred), AWS or GCP

* Experience designing and implementing scalable backend services (APIs, data pipelines, SDKs, etc.)

* Practical experience with building and deploying AI-based applications, including LLMs and embedding models (e.g., OpenAI, Anthropic, Hugging Face)

* Familiarity with Retrieval-Augmented Generation (RAG) based systems, agentic workflows and Generative AI applications

* Familiarity with containerized development with Docker

* Experience with data science Python libraries such as pandas, NumPy, Scikit-learn

* Experience with Python GenAI frameworks (e.g., LangChain, LangGraph) is a plus

* Familiarity with CI/CD workflows in GitLab is a plus

* Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana) is a plus

* Familiarity with gRPC for high-performance service communication is a plus

* Familiarity with Model Context Protocol (MCP) is a plus

* Familiarity with AI observability and tracing tools (e.g., Langfuse) is a plus

Originally posted on Himalayas