Remotery

Senior AI – Platform Engineer

Posted Jul 27

This is a fully remote position, open to applicants in Romania.

📋 Description

• Accountable for the design, implementation, and maintenance of scalable backend services, primarily utilizing Python.

• Developing and managing data pipelines for AI and machine learning applications.

• Operationalizing and deploying Generative AI systems for production environments.

• Creating APIs to deliver AI functionalities to downstream applications.

• Orchestrating agent-oriented workflows using frameworks such as LangChain, LangGraph, or tailored solutions.

• Ensuring the monitoring, logging, and observability of Generative AI services.

• Collaborating across various teams to guarantee system performance, scalability, and reliability.


⛳️ Requirements

• Minimum of 5 years of hands-on experience as a Python backend developer.

• Strong understanding of software engineering principles, clean coding practices, and testing methodologies.

• Practical experience with Python backend frameworks, with a preference for FastAPI, as well as Flask or Django.

• Proficiency in SQL databases and relevant Python libraries.

• Hands-on experience with cloud platforms, favoring Azure, along with AWS or GCP.

• Experience in designing and implementing scalable backend services, including APIs, data pipelines, and SDKs.

• Proven experience in building and deploying AI-driven applications, including large language models and embedding models (e.g., OpenAI, Anthropic, Hugging Face).

• Familiarity with Retrieval-Augmented Generation (RAG) systems, agent-oriented workflows, and Generative AI applications.

• Comfort with containerized development using Docker.

• Experience with data science Python libraries such as pandas, NumPy, and Scikit-learn.

• Experience with Python Generative AI frameworks (e.g., LangChain, LangGraph) is an advantage.

• Familiarity with CI/CD workflows in GitLab is a plus.

• Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana) is a plus.

• Understanding of gRPC for high-performance service communication is a plus.

• Familiarity with Model Context Protocol (MCP) is a plus.

• Knowledge of AI observability and tracing tools (e.g., Langfuse) is a plus.


🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health benefits including medical, dental, and vision coverage.

• Flexible work hours and remote work options.

• Opportunities for professional development and continued education.

• Engaging and inclusive company culture.

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